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URPP Social Networks (2013-2024)

Papers in scientific journals

2025

  1. Barnfield, M., Phillips, J. B., Stoeckel, F., Lyons, B., Szewach, P., Thompson, J., Stöckli, S., Mérola, V., & Reifler, J. (in press). The effects of forecasts on the accuracy and precision of expectations. Public Opinion Quarterly.

  2. Kano Glückstad, F., Kobayashi, H., Seddig, D., Davidov, E., & R. Nakamura (2025). Personal Beauty Values: Development and validation of a multidimensional measurement scale. Journal of Consumer Behavior. 24(1), 282-303.  doi.org/10.1002/cb.2421 Zora

  3. Mari, A., Mandelli, A., & Algesheimer, R. (2025). Harnessing AI Voice Assistants for Digital Corporate Communication, Corporate Communication Review, 1(1), April, 43-49.

  4. Yaari, S. G., Katsoty, D. K., Bardi, A., Barni, D., Cieciuch, J., Lönnqvist, J-E., Skimina, E., Verkasalo, M. J., & Knafo-Noam, A. (2025). Wishful perceiving: A Value-based bias for perception of close others. Journal of Personality and Social Psychology, 128(2), 335-366. doi.org/10.1037/pspi0000482 Zora

2024

  1. Bauer-Hänsel, I., Liu, Q., Tessone, C. J., & Schwabe, G. (2024). Designing a Blockchain-Based Data Market and Pricing Data to Optimize Data Trading and Welfare. International Journal of Electronic Commerce, 28(1), 3-30. doi.org/10.1080/10864415.2023.2295068 Zora
  2. Blackburn, A. M, Han, H., Jeftić, A., Stöckli, S., Gelpi, R., Acosta-Ortiz, M. A., Travaglino, G. A., Alvarado, R., Lacko, D., Milfont, T. L., Chrona, S., Griffin, S. M., Tamayo-Agudelo, W., Lee, Y., & Vestergren, S. (2024). Predictors of Compliance with COVID-19 Guidelines Across Countries: The role of social norms, moral values, trust, stress, and demographic factors. Current Psychology, 1-17. doi.org/10.1007/s12144-023-05281-x Zora
  3. Brud, P. P., & Cieciuch, J. (2024). Temperamental underpinnings of borderline personality disorder and its facets. Personality and Mental Health, 18(3), 205-215. doi.org/10.1002/pmh.1610 Zora
  4. Candrian, C., & Scherer, A. (2024). How Terminology Affects Users’ Response to System Failures. Human Factors, 66(8), 2082-2103. doi.org/10.1177/00187208231202572 Zora
  5. Cieciuch, J., Kwiatkowska, M., Kindschi, M., Davidov, E., & Algesheimer, R. (2024). Peers and value preferences among adolescents in school classes: A social network and longitudinal approach. European Journal of Psychology of Education 106(5), 651-664. doi.org/10.1007/s10212-024-00878-7 Zora
  6. Costantini, L. Laio, F., Mariani, M. S., Ridolfi, L., & Sciarra, C. (2024). Forecasting national CO2 emissions worldwide. Scientific Reports 14, 22438. doi.org/10.1038/s41598-024-73060-0 Zora
  7. Daniel, E., Bardi, A., Lee, L., Scholz-Kuhn, R., Elizarov, E., Benish-Weisman, M., Sneddon, J., Cieciuch, J., Knafo-Noam, A., Ramos, A., Vecchione, M., Algesheimer, R., Murcia Alvarez, E., Ben Dror Lankry, A., Rodrigues, R. B., Chomsky, A., Collins, P., Davidov, E., Döring, A., Habermann, S., Katsoty, D., Kindschi, M., Makarova, E., Marsicano, G., Oeschager, T., da Costa, L. P., Tendais, I., Twito-Weingarten, L. (2024). Value incoherence precedes value change: Evidence from value development in childhood and adolescence across cultures. European Journal of Personality. Online first. doi.org/10.1177/08902070241289969 Zora
  8. Han, B., Wei, Y., Wang, Q., De Collibus, F. M., & Tessone, J. C. (2024). MT2AD: multi-layer temporal transaction anomaly detection in ethereum networks with GNN. Complex & Intelligent Systems, 10(1), 613-626. doi.org/10.1007/s40747-023-01126-z Zora
  9. Hossli, N., Natter, M., & Algesheimer, R. (2024). On the importance of congruence between personal and work values – How value incongruence affects job satisfaction: A multiple mediation model. International Journal of Wellbeing, 14(3), 2905. doi.org/10.5502/ijw.v14i3.2905 Zora
  10. Kaspi, L., Hu, D., Vishkin, A., Chentsova-Dutton, Y., Miyamoto, Y., Cieciuch, J., Cohen, A., Uchida, Y., Kim, M. Y., Wang, X., Qiu, J., Riediger, M., Rauers, A., Hanoch, Y., & Tamir, M. (2024). Motivated to feel better and doing something about it: Cross-cultural differences in motivated emotion regulation during COVID-19. Emotion. Advance online publication. doi.org/10.1037/emo0001403 Zora
  11. Lechner, C. M., Beierlein, C., Davidov, E., & Schwartz, S. H. (2024). Measuring the four higher-order values in Schwartz’s theory: Validation of a 17-Item inventory. Journal of Personality Assessment. doi.org/10.1080/00223891.2024.2311193 Zora
  12. Li, H., Tessone, J. J., & Zeng, A. (2024). Productive scientists are associated with lower disruption in scientific publishing. Proceedings of the National Academy of Sciences PNAS, 121(21), e2322462121. doi.org/10.1073/pnas.2322462121 Zora
  13. Li, S.-N., Campajola, C., & Tessone, C. J. (2024). Statistical detection of selfish mining in proof-of-work blockchain systems. Scientific Reports, 14, 6251. doi.org/10.1038/s41598-024-55348-3 Zora
  14. Malär, L., & Giuffredi-Kähr, A. (2024). The Dark Triad of brand personality: Scale development and validation. Psychology and Marketing, 41(11), 2728-2740. doi.org/10.1002/mar.22081 Zora
  15. Mari, A., Mandelli, A., & Algesheimer, R. (2024). Empathic voice assistants: Enhancing consumer responses in voice commerce. Journal of Business Research, 175, 114566. doi.org/10.1016/j.jbusres.2024.114566 Zora
  16. Mariani, M. S., Mazzilli, D., Patelli, A., Sels, , D., & Morone, F. (2024). Ranking species in complex ecosystems through nestedness maximization. Communications Physics, 7(102), online. doi.org/10.1038/s42005-024-01588-8 Zora
  17. Mariani, M. S., Battiston, F., Horvat, E.-A., Livan, G., Musciotto, F., & Wang, D. (2024). Review: Collective dynamics behind success. Nature Communications 5(1), 10701. doi.org/10.1038/s41467-024-54612-4. Zora
  18. Mazzilli, D., Mariani, M. S., Morone, F., Patelli, A. (2024). Equivalence between the Fitness-Complexity and the Sinkhorn-Knopp algorithms. Journal of Physics: Complexity, 5(1), 015010. doi.org/10.1088/2632-072x/ad2697 Zora
  19. Merian, S., O’Sullivan, K., Stöckli, S., Beretta, C., Müller, N., Tiefenbeck, V., Fleisch, E., & Natter, M. (2024). A field experiment to assess barriers to accurate household food waste measurements. Resources, Conservation & Recycling, 206, 107644. doi.org/10.1016/j.resconrec.2024.107644 Zora
  20. Meskó, N., Kowal, M., Láng, A., Kocsor, F., Bandi, S. A., Putz, A., ..., Stöckli, S., … & Han, H. (2024). Exploring attitudes toward “sugar relationships” across 87 countries: A global perspective on exchanges of resources for sex and companionship. Archives of Sexual Behavior, 53(2), 811-837. doi.org/10.1007/s10508-023-02724-1 Zora
  21. Pietrzak, M., Cieciuch, J. (2024). Discovering the hierarchical structure of variables describing adult attachment: insight from a joint analysis of seven questionnaires. Current Psychology, 43, 22938-22948. doi.org/10.1007/s12144-024-06032-2 Zora
  22. Reiner, J., Wamsler, J., Bornemann, T., & Natter, M. (2024). EXPRESS: How Insurance Prices Affect Consumers’ Purchase Decisions: Insurance Price as a Risk Signal. Journal of Marketing Research, Epub ahead of print. doi.org/10.1177/00222437241270217 Zora
  23. Reinl, A.-K., D. Seddig, J. Dennison, & Davidov, E. (2024). Basic human values and preferences for an EU-wide social benefit scheme, Journal of Common Market Studies, 62(2), 564-582. doi.org/10.1111/jcms.13517 Zora
  24. Remizova, A., Rudnev, M., & Davidov, E. (2024, ePub). In search of a comparable measure of generalized individual religiosity in the World Values Survey. Sociological Methods and Research. doi.org/10.1177/00491241221077239 Zora
  25. Scharfbillig, M., Cieciuch, J., & Davidov, E. (2024). One and the same? How similar are basic human values and economic preferences. PLOS ONE, 19(2), e0296852. doi.org/10.1371/journal.pone.0296852 Zora
  26. Stoeckel, F., Stöckli, S., Ceka, B., Ricchi, C., Lyons, B., & Reifler, J. (2024). Social corrections act as a double-edged sword by reducing the perceived accuracy of false and real news in the UK, Germany, and Italy. Communications Psychology, 2(1), 1–17. doi.org/10.1038/s44271-024-00057-w Zora
  27. Tamir, M., Ito, A., Miyamoto, Y., Chentsova-Dutton, Y., Choi, J. H., Cieciuch, J., Riediger, M., Rauers, A., Padun, M., Kim, M. Y., Solak, N., Qiu, J., Wang, X., Alvarez-Risco, A., Hanoch, Y., Uchida, Y., Torres, C., Nascimento, T. G., Afshar Jahanshahi, A., Singh, R., Kamble, S. V., An, S., Dzokoto, V., Anum, A., Singh, B., Castelnuovo, G., Pietrabissa, G., Huerta-Carvajal, M. I., Galindo-Bello, E., & García Ibarra, V. J. (2024). Emotion regulation strategies and psychological health across cultures. American Psychologist. 79(5), 748–764. doi.org/10.1037/amp0001237 Zora
  28. Tanase, R., Algesheimer, R., & Mariani, M. S. (2024). Integrating behavioral experimental findings into dynamical models to inform social change interventions. SSRN. doi.org/10.2139/ssrn.4837583 Zora
  29. Vaccario, G., Xu, S., Mariani, M. S., & Medo, M. (2024). The quest for an unbiased scientific impact indicator remains open. Proceedings of the National Academy of Sciences PNAS, 121(41), e24100211. doi.org/10.1073/pnas.2410021121 Zora
  30. Xu, S., Mariani, M. S., Lü, L., Napolitano, L., Pugliese, E., & Zaccaria, A. (2024). Citations or dollars? Early signals of a firm’s research success. Technological Forecasting & Social Change, 201(April), 123208. doi.org/10.1016/j.techfore.2024.123208 Zora
  31. Zhou, F., Lü, L., Liu, J., & Mariani, M. S. (2024). Beyond network centrality: Individual-level behavioural traits for predicting information superspreaders in social media. National Science Review, 11(7), nwae073. doi.org/10.1093/nsr/nwae073 Zora

2023

  1. Bellio, E., Buccoliero, L., & Crestini, G. (2023). COVID-19 Vaccine Communication Campaigns: A Cross-Country Analysis Based on Hofstede Cultural Dimensions. Open Journal of Social Sciences, 11(6), 518-539. doi.org/10.4236/jss.2023.116034 Zora
  2. Blackburn, A. M., Han, H., Gelpí, R. A., Stöckli, S., Jeftić, A., Ch'ng, B., Koszałkowska, K., Lacko, D., Milfont, T. L., Lee, Y., & Vestergren, S. (2023). Mediation analysis of conspiratorial thinking and anti-expert sentiments on vaccine willingness. Health Psychology, 42(4), 235-246. doi.org/10.1037/hea0001268 Zora
  3. Brud, P. P., & Cieciuch, J. (2023). Borderline personality disorder and its facets in the context of personality metatraits and pathological traits. Personality and Individual Differences, 202(February), 111958. doi.org/10.1016/j.paid.2022.111958 Zora
  4. Cui, M., Li, K., Li, Y., Kamuhanda, D., & Tessone, C. J. (2023). Semi-supervised semantic segmentation of remote sensing images based on dual cross-entropy consistency. Entropy, 25(4), 681. doi.org/10.3390/e25040681 Zora
  5. Daniel, E., Döring, A. K., & Cieciuch, J. (2023). Development of intraindividual value structures in middle childhood: A multicultural and longitudinal investigation. Journal of Personality, 91(2), 482-496. doi.org/10.1111/jopy.12742 Zora
  6. Dülmer, H., Schwartz, S., Cieciuch, J., Davidov, E., & Schmidt, P. (2023). Testing Schwartz’s model of cultural value orientations in Europe with the European Social Survey. An empirical comparison of additive indexes with factor scores, Survey Research Methods 17(4), 447-463. doi.org/10.18148/srm/2023.v17i4.8031 Zora
  7. Gui, R., Meierer, M., Schilter, P., & Algesheimer, R. (2023). REndo: An R Package to Address Endogeneity Without External Instrumental Variables. Journal of Statistical Software, 107(3), 1-43. doi.org/10.18637/jss.v107.i03 Zora
  8. Holenweger, G., Stöckli, S., & Brügger, A. (2023). Carbon footprint labels involving traffic lights foster sustainable food choices, Food Quality and Preference, 106, 104813. doi.org/10.1016/j.foodqual.2023.104813 Zora
  9. Javarone, M. A., Di Antonio, G., Vinci, G. V., Cristodaro, R., Tessone, C. J., & Pietronero, L. (2023). Disorder unleashes panic in Bitcoin dynamics. Journal of Physics: Complexity, 4, 045002. doi.org/10.1088/2632-072X/ad00f7 Zora
  10. Kamuhanda, D., Cui, M., & Tessone, C. J. (2023). Illegal community detection in Bitcoin transaction networks. Entropy, 25(7), 1069. doi.org/10.3390/e25071069 Zora
  11. Łakuta, P., Cieciuch, J., Strus, W., & Hutsebaut, J. (2023). Level of Personality Functioning Scale-Brief Form 2.0: Validity and reliability of the Polish adaptation. Psychiatria Polska, 57(2), 247-260. doi.org/10.12740/pp/onlinefirst/145912 Zora
  12. Łakuta, P., Cieciuch, J., Strus, W., & Morey, L. C. (2023). Psychometric Evaluation of the Polish adaptation of a Self-Report Form of the DSM-5 Level of Personality Functioning Scale. Psychiatria Polska, 57(2), 261-274. doi.org/10.12740/pp/onlinefirst/142888 Zora
  13. Laudati, D., Mariani, M. S., Pietronero, L., & Zaccaria, A. (2023). The different structure of economic ecosystems at the scales of companies and countries. Journal of Physics: Complexity, 4(2), 025011. doi.org/10.1088/2632-072X/accb35 Zora
  14. Leitgöb, H., Seddig, D., Asparouhov, T., Behr, D., Davidov, E., De Roover, K., Jak, S., Meitinger, K., Menold, N., Muthén, B., Rudnev, M., Schmidt P., & van de Schoot, R. (2023). Measurement invariance in the social sciences: Historical development, methodological challenges, state of the art, and future perspectives. Social Science Research, 110(February), 102805. doi.org/10.1016/j.ssresearch.2022.102805 Zora
  15. Li, C., Spychiger, F., & Tessone, C. J. (2023). The miner’s dilemma with migration: The control effect of solo-mining. IEEE Transactions on Network and Service Management, 20(3), 2760-2770. doi.org/10.1109/TNSM.2022.3232183 Zora
  16. Li, S.-N., Spychiger, F., & Tessone C. J. (2023). Reward distribution in proof-of-stake protocols: A trade-off between inclusion and fairness. IEEE Access, 11, 134136-134145. doi.org/10.1109/ACCESS.2023.3336418 Zora
  17. Lin, J., Chen, B.-L., Yang, Z., Liu, J.-G., & Tessone, C. J. (2023). Rank the spreading influence of nodes using dynamic Markov process. New Journal of Physics, 25(2), 023014. doi.org/10.1088/1367-2630/acb590 Zora
  18. Machowicz, M., & Cieciuch, J. (2023). Temperament and attachment dimensions as predictors for impairments of personality functioning according to DSM-5. Psychiatria Polska, online first, 328, 1-10. doi.org/10.12740/PP/OnlineFirst/168747 Zora
  19. Remizova, A., Davidov, E. & Rudnev, M. (2023). Religious involvement across Europe: Examining its measurement comparability. Survey Research Methods, 17(1), 51-62. doi.org/10.18148/srm/2023.v17i1.8011 Zora
  20. Riesgo, S. B. (2023). La moda sostenible en colecciones y museos: el caso de Fashion For Good. Indumenta: Revista del Museo del Traje, (6), 176-202. Zora
  21. Sattler, S., D. Maskileyson, E. Racine, E. Davidov, & Escande, E. (2023). Stigmatization in the context of the COVID-19 pandemic: A survey experiment using attribution theory and the familiarity hypothesis, BMC Public Health, 23(March), 521. doi.org/10.1186/s12889-023-15234-5 Zora
  22. Siczek, A., & Cieciuch, J. (2023). Pathological personality traits from ICD-11 and attachment – Comparison of 10 models of attachment dimensions. Psychiatria Polska, online first, 319, 1-13. doi.org/10.12740/PP/OnlineFirst/165975  Zora
  23. Spälti, A. K., Lyons, B., Stoeckel, F., Stöckli, S., Szewach, P., Mérola, V., Stednitz, C., López González, P., & Reifler, J. (2023). Partisanship and anti-elite worldviews as correlates of science and health beliefs in the multi-party system of Spain, Public Understanding of Science, 32(6), 761-780. doi.org/10.1177/09636625231154131 Zora
  24. Sztandera, B., Ponikiewska, K., & Cieciuch, J. (2023). Predictive validity of two conceptualizations of basic temperament dimensions. Personality and Individual Differences, 215, 112358. doi.org/10.1016/j.paid.2023.112358 Zora
  25. Yik, M., Mues, C., Sze, I. N. L., Kuppens, P., Tuerlinckx, F., De Roover, K., Kwok, F. H. C., Schwartz, S. H., Abu-Hilal, M., Adebayo, D. F., Aguilar, P., Al-Bahrani, M., Anderson, M. H., Andrade, L., Bratko, D., Bushina, E., Choi, J. W., Cieciuch, J., Dru, V., Evers, U., Fischer, R., Florez, I. A., Garðarsdóttir, R. B., Gari, A., Graf, S., Halama, P., Halberstadt, J., Halim, M. S., Heilman, R. M., Hřebíčková, M., Karl, J. A., Knežević, G., Kohút, M., Kolnes, M., Lazarević, L. B., Lebedeva, N., Lee, J., Lee, Y.-H., Liu, C., Mannerström, R., Marušić, I., Nansubuga, F., Ojedokun, O., Park, J., Platt, T., Proyer, R. T., Realo, A., Rolland, J.-P., Ruch, W., Ruiz, D., Sortheix, F. M., Stahlmann, A. G., Stojanov, A., Strus, W., Tamir, M., Torres, C., Trujillo, A., Truong, T. K. H., Utsugi, A., Vecchione, M., Wang, L., & Russell, J. A. (2023). On the relationship between valence and arousal in samples across the globe. Emotion, 23(2), 332-344. doi.org/10.1037/emo0001095 Zora
  26. Zhang, Z., Wan, J., Zhou, M., Lai, Z., Tessone, C. J., Chen, G., & Liao, H. (2023). Temporal burstiness and collaborative camouflage aware fraud detection. Information Processing & Management, 60(2), 103170. doi.org/10.1016/j.ipm.2022.103170 Zora

2022

  1. Becker, C. C., Davidov, E., Cieciuch, J., Algesheimer, R., & Kindschi, M. (2022). Values and Attitudes Toward Immigrants Among School Children in Switzerland and Poland. Race and Social Problems, 14(4), 308–325. doi.org/10.1007/s12552-022-09357-4 Zora
  2. Candrian, C., & Scherer, A. (2022). Rise of the machines: Delegating decisions to autonomous AI. Computers in Human Behavior, 134(September 2022), 107308. doi.org/10.1016/j.chb.2022.107308 Zora
  3. Cieciuch, J., Łakuta, P., Strus, W., Oltmanns, J. R., & Widiger, T. (2022). Assessment of personality disorder in the ICD-11 diagnostic system: Polish validation of the Personality Inventory for ICD-11. Psychiatria Polska, 56(6), 1185–1202. doi.org/10.12740/pp/onlinefirst/138563 Zora
  4. Cui, M., Mariani, M. S., & Medo, M. (2022). Algorithmic bias amplification via temporal effects: The case of PageRank in evolving networks. Communications in Nonlinear Science and Numerical Simulation, 104, 106029. doi.org/10.1016/j.cnsns.2021.106029 Zora
  5. Czyżkowska, A., & Cieciuch, J. (2022). Marital goals: Circular value-based model and measurement. Current Psychology. 41(6), 3401-3417. doi.org/10.1007/s12144-020-00787-0 Zora
  6. Giuffredi-Kähr, A., Petrova, A. & Malär, L. (2022). Sponsorship Disclosure of Influencers – A Curse or a Blessing? Journal of Interactive Marketing, 57(1), 18-34. doi.org/10.1177/10949968221075686  Zora
  7. Janeczek, A., & Cieciuch, J. (2022). Guilt is solely explained by values, while shame is explained by both values and personality metatraits. Advances in Cognitive Psychology, 18(4), 296-303. doi.org/10.5709/acp-0378-2  Zora
  8. Jia, W., Lu, L., Mariani, M. S., Dai, Y., & Jiang, T. (2022). Towards Detecting Previously Undiscovered Interaction Types in Networked Systems. IEEE Internet of Things Journal, 9(20), 20422-20430. doi.org/10.1109/JIOT.2022.3174086 Zora
  9. Lipska, A., Rogoza, R., Dębska, E., Ponikiewska, K., Putnam, S., & Cieciuch, J. (2022). The structure of child temperament as measured by the Polish versions of the Children’s Behavior Questionnaire and the Temperament in Middle Childhood Questionnaire: Insight from the network psychometrics approach. Current Issues in Personality Psychology, 10(4), 265-276. doi.org/10.5114/cipp.2021.108826 Zora
  10. Medo, M., Mariani, M. S., & Lü, L. (2022). The simple regularities in the dynamics of online news impact. Journal of Computational Social Science, 5(1), 629–646. doi.org/10.1007/s42001-021-00140-w Zora
  11. Merian, S., Stöckli, S., Fuchs, K. L., & Natter, M. (2022). Buy Three to Waste One ? How Real-World Purchase Data Predict Groups of Food Wasters. Sustainability, 14(16), 10183. doi.org/10.3390/su141610183 Zora
  12. Meuleman, B., Zoltak, T., Pokropek, A., Davidov, E., Muthén, B., Oberski, D., Billiet, J., Schmidt., P. (2022). Why measurement invariance is important in comparative research. A response to Welzel et al. (2021). Sociological Methods and Research. doi.org/10.1177/00491241221091755 Zora
  13. Ponikiewska, K., Strus, W., & Cieciuch, J. (2022). Revealing the hierarchical structure of temperamental constructs distinguished in eight theories. Acta Psychologica, 226(June), 103557. doi.org/10.1016/j.actpsy.2022.103557 Zora
  14. Rogoza, R., Cieciuch, J., & Strus, W. (2022). Vulnerable Isolation and Enmity Concept: Disentangling the blue and dark face of vulnerable narcissism. Journal of Research in Personality, 96(February), 104167. doi.org/10.1016/j.jrp.2021.104167 Zora
  15. Rogoza, R., Crowe, M. L., Jamison, L., Cieciuch, J., Strus, W. (2022). Support for the three-factor model of narcissism and its personality underpinnings through the lens of the network psychometrics. Psychological Assessment, 34(9), 880–890. doi.org/10.1037/pas0001149 Zora 
  16. Schmidt, P., Gordoni, G., Ajzen, I., Steinmetz, H., Davidov, E., Beuthner, C., Silber H., & Weiß, B. (2022). Twitter users’ privacy behavior: A reasoned action approach. Social Media and Society, 8(3), 2056305122112608. doi.org/10.1177/20563051221126085 Zora
  17. Schwartz, S. H., Cieciuch, J. (2022). Measuring the refined theory of individual values in 49 cultural groups: Psychometrics of the revised Portrait Value Questionnaire. Assessment, 29(5), 1005-1019. doi.org/10.1177/1073191121998760 Zora
  18. Seddig, D., Maskileyson, D., & Davidov, E. (2022). Vaccination against COVID-19 reduces virus-related fears. Findings from a German longitudinal study. Frontiers in Public Health, 10, 878787. doi.org/10.3389/fpubh.2022.878787  Zora
  19. Seddig, D., Maskileyson, D., Davidov, E., Ajzen, I., & Schmidt, P. (2022). Correlates of COVID-19 vaccination intentions: Attitudes, institutional trust, fear, conspiracy beliefs, and vaccine skepticism. Social Science and Medicine, 302(March), 114981. doi.org/10.1016/j.socscimed.2022.114981 Zora
  20. Skimina, E., Strus, W., Cieciuch, J., & Topolewska-Siedzik, E. (2022). How many and what mechanisms are needed to explain self-regulatory functions in personality dynamics: Toward a model based on the Circumplex of Personality Metatraits. Journal of Personality, 91(4), 882-900. doi.org/10.1111/jopy.12722 Zora
  21. Strus, W., Ponikiewska, K., & Cieciuch, J. (2022). Reactivity and Activity as dimensions capturing both energetic and temporal aspects of behavior: Towards a reconceptualization of Jan Strelau’s basic temperament dimensions based on the Circumplex of Personality Metatraits. Personality and Individual Differences, 188(April), 111434. doi.org/10.1016/j.paid.2021.111434 Zora
  22. Tipaldi, P., & Natter, M. (2022). Older adults’ decisions on smart home systems: Better put an age tag on it! Psychology and Marketing, 39(9), 1747–1761. doi.org/10.1002/mar.21698 Zora
  23. Wamsler, J., Natter, M., & Algesheimer, R. (2022). Transitioning to dynamic prices: Should pricing authority remain with the company or be delegated to the service employees instead? Journal of Business Research, 139(February), 1476–1488. doi.org/10.1016/j.jbusres.2021.10.067 Zora
  24. Wamsler, J., Vuckovac, D., Natter, M., & Ilic, A. (2022). Live shopping promotions: which categories should a retailer discount to shoppers already in the store? OR Spectrum. doi.org/10.1007/s00291-022-00685-w Zora
  25. Ye, Y., Xu, S., Mariani, M. S., & Lü, L. (2022). Forecasting countries’ gross domestic product from patent data. Chaos, Solitons & Fractals, 160, 112234. doi.org/10.1016/j.chaos.2022.112234 Zora

2021

  1. Bachmann, P., Meierer, M., & Näf, J. (2021). The Role of Time-Varying Contextual Factors in Latent Attrition Models for Customer Base Analysis. Marketing Science, 40(4), 783-809. doi.org/10.1287/mksc.2020.1254 Zora
  2. Bernard, L. C., Cieciuch, J., Lac, A., Žuro, B., Krupic, D., Richter, M., Silvestrini, N., von Helversen, B. (2021). A Cross-Cultural Study of Purposive “Traits of Action”: Measurement Invariance of Scales Based on the Action-Trait Theory of Human Motivation Using Exploratory Structural Equation Modeling. Studia Psychologica: Theoria et Praxis, 21(1), 5–29. doi.org/10.21697/sp.2021.21.1.01 Zora
  3. Campajola, C., Lillo, F., Mazzarisi, P., & Tantari, D. (2021). On the equivalence between the kinetic Ising model and discrete autoregressive processes. Journal of Statistical Mechanics: Theory and Experiment, 2021(3), 33412. doi.org/10.1088/1742-5468/abe946 Zora
  4. Cieciuch, J., Strus, W. (2021). Toward a model of personality competencies underlying social and emotional skills: Insight from the Circumplex of Personality Metatraits. Frontiers in Psychology, 12 (November), 711323. doi: 10.3389/fpsyg.2021.711323 Zora
  5. de Abreu, C., Gonçalves, S., & da Cunha, B. R. (2021). Empirical determination of the optimal attack for fragmentation of modular networks. Physica A: Statistical Mechanics and Its Applications, 563(125486). doi.org/10.1016/j.physa.2020.125486 Zora
  6. Dennison, J., Seddig, D., & Davidov, E. (2021). The Role of Human Values in Explaining Support for European Union Membership. Journal of Cross-Cultural Psychology, 52(4), 372–387. doi.org/10.1177/00220221211005082 Zora
  7. Liu, H., Yang, N., Yang, Z., Zhang, Y., & Li, R. (2021). Using combined network-based approaches to analyze risk interactions in R&D alliance. Journal of the Operational Research Society, 72(11), 2460-2471. doi.org/10.1080/01605682.2020.1796535 Zora
  8. Mariani, M. S., Palazzi, M. J., Solé-Ribalta, A., Borge-Holthoefer, J., & Tessone, C. J. (2021). Absence of a resolution limit in in-block nestedness. Communications in Nonlinear Science and Numerical Simulation, 94, 105545. doi.org/10.1016/j.cnsns.2020.105545 Zora
  9. Maskileyson, D., Seddig, D., & Davidov, E. (2021). The EURO-D Measure of Depressive Symptoms in the Aging Population: Comparability Across European Countries and Israel. Frontiers in Political Science, 3(August), 665004. doi.org/10.3389/fpos.2021.665004 Zora
  10. Maskileyson, D., Seddig, D., & Davidov, E. (2021). The comparability of perceived physical and mental health measures across immigrants and natives in the United States. Demography, 58(4), 1423–1443. doi.org/10.1215/00703370-9304855 Zora
  11. Maskileyson, D., Semyonov, M., & Davidov, E. (2021). Economic integration of first- and second-generation immigrants in the Swiss labour market: Does the reason for immigration make a difference? Population, Space and Place, 27(6), e2426. doi.org/10.1002/psp.2426 Zora
  12. Medo, M., Mariani, M. S., Lü, L. (2021). The fragility of opinion formation in a complex world, Communications Physics, 4, 75. doi.org/10.1038/s42005-021-00579-3 Zora
  13. Raijman, R., Hochman, O., & Davidov, E. (2021). Ethnic Majority Attitudes toward Jewish and Non-Jewish Migrants in Israel : The Role of Perceptions of Threat, Collective Vulnerability, and Human Values. Journal of Immigrant & Refugee Studies, 19(4), 407–421. doi.org/10.1080/15562948.2021.1889850 Zora
  14. Rogoza, R., Cieciuch, J., Strus, W., & Kłosowski, M. (2021). Investigating the structure of the Polish Five Factor Narcissism Inventory: Support for the three-factor model of narcissism. Psychological Assessment. 33(3), 267-272. doi.org/10.1037/pas0000901 Zora
  15. Schmidt, M. N., Seddig, D., Davidov, E., Mørup, M., Albers, K. J., Bauer, J. M., & Glückstad, F. K. (2021). Latent profile analysis of human values: What is the optimal number of clusters? Methodology, 17(2), 127–148. doi.org/10.5964/METH.5479 Zora
  16. Schoenenberger, L., Schmid, A., Tanase, R., Beck, M., & Schwaninger, M. (2021). Structural Analysis of System Dynamics Models. Simulation Modelling Practice and Theory, 110(April), 102333. doi.org/10.1016/j.simpat.2021.102333 Zora
  17. Skimina, E., Cieciuch, J., & Revelle, W. (2021). Between- and within-person structures of value traits and value states: Four different structures, four different interpretations. Journal of Personality, 89(5), 951–969. doi.org/10.1111/jopy.12627 Zora
  18. Spychiger, F., Tasca, P., & Tessone, C. J. (2021). Unveiling the Importance and Evolution of Design Components Through the “Tree of Blockchain.” Frontiers in Blockchain, 3(January), 613476. doi.org/10.3389/fbloc.2020.613476 Zora
  19. Stanisławski, K., Cieciuch, J., & Strus, W. (2021). Ellipse rather than a circumplex: A systematic test of various circumplexes of emotions. Personality and Individual Differences, 181(February), 111052. doi.org/10.1016/j.paid.2021.111052 Zora
  20. Strus, W., Cieciuch, J. (2021). The Circumplex of Personality Metatraits and the HEXACO model: Toward refinement and integration. Journal of Personality. 89(4), 803-818. doi.org/10.1111/jopy.12616 Zora
  21. Strus, W., Łakuta, P., & Cieciuch, J. (2021). Anankastia or Psychoticism? Which one is better suited for the fifth trait in the pathological Big Five: Insight from the Circumplex of Personality Metatraits perspective. Frontiers in Psychiatry, 12, 648386. doi.org/10.3389/fpsyt.2021.648386 Zora
  22. Wang, J., Xu, S., Mariani, M. S., Lü, L. (2021). The local structure of citation networks uncovers expert-selected milestone papers. Journal of Informetrics. 15(4), 101220. doi.org/10.1016/j.joi.2021.101220 Zora
  23. Weijters, B., Davidov, E., & Baumgartner, H. (2021). Analyzing factorial survey data with structural equation models. Sociological Methods and Research, 1–33. doi.org/10.1177/00491241211043139 Zora

2020

  1. Akca, S., & Rao, A. (2020). Value of Aggregators. Marketing Science, 39(5), 893-922. doi.org/10.1287/mksc.2020.1236 Zora
  2. Becker, C. C., Davidov, E., Cieciuch, J., Algesheimer, R., & Kindschi, M. (2020). Measuring school children’s attitudes toward immigrants in Switzerland and Poland. Measurement Instruments for the Social Sciences, 2(9), 2-14. doi.org/10.1186/s42409-020-00017-0 Zora
  3. Brud, P. P., Rogoza, R., & Cieciuch, J. (2020). Personality underpinnings of dark personalities: An example of Dark Triad and deadly sins. Personality and Individual Differences, 163, 110085. doi.org/10.1016/j.paid.2020.110085 Zora
  4. Bruno, M., Saracco, F., Garlaschelli, D., Tessone, C. J., & Caldarelli, G. (2020). The ambiguity of nestedness under soft and hard constraints. Scientific Reports, 10, 19903. doi.org/10.1038/s41598-020-76300-1 Zora
  5. Campajola, C., Lillo, F., & Tantari, D. (2020). Unveiling the relation between herding and liquidity with trader lead-lag networks. Quantitative Finance, 20(11), 1765–1778. doi.org/10.1080/14697688.2020.1763442 Zora
  6. Cao, X., & Li, C. (2020). Evolutionary Game Simulation of Knowledge Transfer in Industry-University-Research Cooperative Innovation Network under Different Network Scales. Scientific Reports, 10, 4027. doi.org/10.1038/s41598-020-60974-8 Zora
  7. Cao, X., Li, C., Chen, W., Li, J., & Lin, C. (2020). Research on the invulnerability and optimization of the technical cooperation innovation network based on the patent perspective—A case study of new energy vehicles. PLOS ONE, 15(9), e0238541. doi.org/10.1371/journal.pone.0238541 Zora
  8. Davidov, E., Seddig, D., Gorodzeisky, A., Raijman, R., Schmidt, P., & Semyonov, M. (2020). Direct and indirect predictors of opposition to immigration in Europe: individual values, cultural values, and symbolic threat. Journal of Ethnic and Migration Studies, 46(3), 553–573. doi.org/10.1080/1369183X.2018.1550152 Zora
  9. Dennison, J., Davidov, E., & Seddig, D. (2020). Explaining voting in the UK’s 2016 EU referendum: Values, attitudes to immigration, European identity and political trust. Social Science Research, 92, 10247). doi.org/10.1016/j.ssresearch.2020.102476 Zora
  10. Ehlert, A., Kindschi, M., Algesheimer, R., & Rauhut, H. (2020). Human social preferences cluster and spread in the field. Proceedings of the National Academy of Sciences PNAS, 117(37), 22787–22792. doi.org/10.1073/pnas.2000824117 Zora
  11. Heath, A., Davidov, E., Ford, R., Green, E. G. T., Ramos, A., & Schmidt, P. (2020). Contested terrain: explaining divergent patterns of public opinion towards immigration within Europe. Journal of Ethnic and Migration Studies, 46(3), 475–488. doi.org/10.1080/1369183X.2019.1550145. Zora
  12. Kałużna-Wielobób, A., Strus, W., & Cieciuch, J. (2020). Community Feeling and Narcissism as Two Opposite Phenomena. Frontiers in Psychology, 11, 515895. doi.org/10.3389/fpsyg.2020.515895 Zora
  13. Li, C., Cao, X., & Chi, M. (2020). Research on an evolutionary game model and simulation of a cluster innovation network based on fairness preference. PLOS ONE, 15(1), e0226777. doi.org/10.1371/journal.pone.0226777 Zora
  14. Lin, J. H., Primicerio, K., Squartini, T., Decker, C., & Tessone, C. J. (2020). Lightning network: A second path towards centralisation of the Bitcoin economy. New Journal of Physics, 22(8), 083022. doi.org/10.1088/1367-2630/aba062 Zora
  15. Liu, H., Yang, N., Yang, Z., Lin, J., & Zhang, Y. (2020). The impact of firm heterogeneity and awareness in modeling risk propagation on multiplex networks. Physica A: Statistical Mechanics and its Applications, 539, 122919. doi.org/10.1016/j.physa.2019.122919 Zora
  16. Manabe, K., Jagodzinski, W., Davidov, E., Dülmer, H., & Hommerich, C. (2020). Cross-National Comparisons of Human Values Based on the Conceptual Framework of S. Schwartz: The International Student Surveys in Germany and Japan (in Japanese). School of Sociology and Social Work Journal, (135), 1–20. Zora
  17. Mariani, M. S., & Lü, L. (2020). Network-based ranking in social systems: three challenges. Journal of Physics: Complexity, 1(1), 011001. doi.org/https://doi.org/10.1088/2632-072X/ab8a61 Zora
  18. Mazzarisi, P., Zaoli, S., Campajola, C., & Lillo, F. (2020). Tail Granger causalities and where to find them: Extreme risk spillovers vs spurious linkages. Journal of Economic Dynamics and Control, 121, 104022. doi.org/10.1016/j.jedc.2020.104022 Zora
  19. Meitinger, K., Davidov, E., Schmidt, P., & Braun, M. (2020). Measurement invariance: Testing for it and explaining why it is absent. Survey Research Methods, 14(4), 345–349. doi.org/10.18148/srm/2020.v14i4.7655 Zora
  20. Meuleman, B., Abts, K., Schmidt, P., Pettigrew, T. F., & Davidov, E. (2020). Economic conditions, group relative deprivation and ethnic threat perceptions: a cross-national perspective. Journal of Ethnic and Migration Studies, 46(3), 593–611. doi.org/10.1080/1369183X.2018.1550157 Zora
  21. Pokropek, A., Schmidt, P., & Davidov, E. (2020). Choosing Priors in Bayesian Measurement Invariance Modeling: A Monte Carlo Simulation Study Choosing. Structural Equation Modeling: A Multidisciplinary Journal, 27(5), 750–764. doi.org/10.1080/10705511.2019.1703708 Zora
  22. Ponikiewska, K., Cieciuch, J., & Strus, W. (2020). In search of convergence between the main dimensions of interpersonal and basic human values in the context of personality traits. Personality and Individual Differences, 162, 110003. doi.org/10.1016/j.paid.2020.110003 Zora
  23. Rymarczyk, K., Turbacz, A., Strus, W., & Cieciuch, J. (2020). Type C Personality: Conceptual Refinement and Preliminary Operationalization. Frontiers in Psychology, 11, 552740. doi.org/10.3389/fpsyg.2020.552740 Zora
  24. Schlueter, E., Masso, A., & Davidov, E. (2020). What factors explain anti-Muslim prejudice? An assessment of the effects of Muslim population size, institutional characteristics and immigration-related media claims. Journal of Ethnic and Migration Studies, 46(3), 649–664. doi.org/10.1080/1369183X.2018.1550160  Zora
  25. Seddig, D., Maskileyson, D., & Davidov, E. (2020). The comparability of measures in the ageism module of the fourth round of the European Social Survey, 2008-2009. Survey Research Methods, 14(4), 351–364. doi.org/10.18148/srm/2020.v14i4.7369 Zora
  26. Skimina, E., Cieciuch, J. (2020). Explaining everyday behaviors and situational context by personality metatraits and higher-order values. European Journal of Personality. 34(1), 29-59. doi.org/10.1002/per.2230 Zora
  27. Skimina, E., Karaś, D., Topolewska-Siedzik, E., Kłym-Guba, M., Ponikiewska, K., Rogoza, R., Davidov, E., & Cieciuch, J. (2020). A categorization of behaviors reported in experience sampling studies. Social Psychological Bulletin, 15(2), 1–33. doi.org/10.32872/spb.3029 Zora
  28. Skimina, E., Strus, W., Cieciuch, J., Szarota, P., & Izdebski, P. K. (2020). Psychometric properties of the Polish versions of the HEXACO-60 and the HEXACO-100 personality inventories. Current Issues in Personality Psychology, 8(3), 255–278. doi.org/10.5114/cipp.2020.98693 Zora
  29. Strus, W., & Cieciuch, J. (2020). Higher-order factors of the Big Six – Similarities between Big Twos identified above the Big Five and the Big Six. Personality and Individual Differences. 171, 110544. doi.org/10.1016/j.paid.2020.110544 Zora
  30. Vallarano, N., Tessone, C. J., & Squartini, T. (2020). Bitcoin Transaction Networks: An Overview of Recent Results. Frontiers in Physics, 8, 286. doi.org/10.3389/fphy.2020.00286 Zora
  31. Vecchione, M., Schwartz, S. H., Davidov, E., Cieciuch, J., Alessandri, G., & Marsicano, G. (2020). Stability and change of basic personal values in early adolescence: A 2‐year longitudinal study. Journal of Personality, 88(3), 447–463. doi.org/10.1111/jopy.12502 Zora
  32. Weber, A., Iannelli, F., & Gonçalves, S. (2020). Trend analysis of the COVID-19 pandemic in China and the rest of the world. MedRxiv. doi.org/10.1101/2020.03.19.20037192 Zora
  33. Xu, S., Mariani, M. S., Lü, L., & Medo, M. (2020). Unbiased evaluation of ranking metrics reveals consistent performance in science and technology citation data. Journal of Informetrics 14(1), 101005. doi.org/10.1016/j.joi.2019.101005 Zora
  34. Xu, S., Zhang, Q., Lü, L., & Mariani, M. S. (2020). Recommending investors for new startups by integrating network diffusion and investors’ domain preference. Information Sciences, 515, 103–115. doi.org/10.1016/j.ins.2019.11.045 Zora

2019

  1. Białecka-Pikul, M., Stępień-Nycz, M., Sikorska, I., Topolewska-Siedzik, E., & Cieciuch, J. (2019). Change and Consistency of Self-Esteem in Early and Middle Adolescence in the Context of School Transition. Journal of Youth and Adolescence, 48(8), 1605–1618. doi.org/10.1007/s10964-019-01041-yZora

  2. Blessing, G., & Natter, M. (2019). Do Mystery Shoppers Really Predict Customer Satisfaction and Sales Performance? Journal of Retailing, 95(3), 47-62. doi.org/10.1016/j.jretai.2019.04.001Zora

  3. Brünner, T., Reiner, J., Natter, M., & Skiera, B. (2019). Prospect theory in a dynamic game: Theory and evidence from online pay-per-bid auctions. Journal of Economic Behavior and Organization, 164, 215–234. doi.org/10.1016/j.jebo.2019.05.032Zora

  4. Cieciuch, J., Davidov, E., Schmidt, P., & Algesheimer, R. (2019). How to Obtain Comparable Measures for Cross-National Comparisons. Kölner Zeitschrift Fur Soziologie Und Sozialpsychologie, 71(Suppl 1), 157–186. doi.org/10.1007/s11577-019-00598-7Zora

  5. Fischer, R., Ferreira, M. C., Van Meurs, N., Gok, K., Jiang, D. Y., Fontaine, J. R. J., Harb, Ch., Cieciuch, J., Achoui, M., Mendoza, M. S. D., Hassan, A., Achmadi, D., Mogaji, A.,  Abubakar, A. (2019). Does organizational formalization facilitate voice and helping organizational citizenship behaviors? It depends on (national) uncertainty norms. Journal of International Business Studies, 50(1), 125–134. doi.org/10.1057/s41267-017-0132-6Zora

  6. Fuentes, M. A., Tessone, C. J., & Furtado, B. A. (2019). Public Policy Modeling and Applications. Complexity, 2019, 4128703. doi.org/10.1155/2019/4128703Zora

  7. Furtado, B. A., Fuentes, M. A., & Tessone, C. J. (2019). Policy Modeling and Applications: State-of-the-Art and Perspectives. Complexity, 2019, 5041681. doi.org/10.1155/2019/5041681Zora

  8. Karaś, D., & Cieciuch, J. (2019). Identity statuses across various life domains and well-being in emerging adults. Polish Psychological Bulletin, 50(3), 217–225. doi.org/10.24425/ppb.2019.130694Zora

  9. Kindschi, M., Cieciuch, J., Davidov, E., Ehlert, A., Rauhut, H., Tessone, C. J., & Algesheimer, R. (2019). Values in adolescent friendship networks. Network Science, 7(4), 498-522. doi.org/10.1017/nws.2019.16Zora

  10. Liao, H., Liu, M. K., Mariani, M. S., Zhou, M., & Wu, X. (2019). Temporal similarity metrics for latent network reconstruction: The role of time-lag decay. Information Sciences, 489, 182–192. doi.org/10.1016/j.ins.2019.01.081Zora

  11. Liu, H., Yang, N., Yang, Z., Zhang, Y., & Lin, J. (2019). Modeling and simulations of the cascading failure of multiple interdependent R&D networks under risk propagation. Physics Letters A, 383(21), 2443-2450. doi.org/10.1016/j.physleta.2019.05.012Zora

  12. Mariani, M. S., Medo, M., & Lafond, F. (2019). Early identification of important patents: Design and validation of citation network metrics. Technological Forecasting and Social Change. 146, 644-654. doi.org/10.1016/j.techfore.2018.01.036Zora

  13. Mariani, M. S., Ren, Z. M., Bascompte, J., & Tessone, C. J. (2019). Nestedness in complex networks: Observation, emergence, and implications. Physics Reports, Vol. 813, 1–90. doi.org/10.1016/j.physrep.2019.04.001Zora

  14. Maskileyson, D., Semyonov, M., & Davidov, E. (2019). In Search of the Healthy Immigrant Effect in Four West European Countries. Social Inclusion, 7(4), 304–319. doi.org/10.17645/si.v7i4.2330Zora

  15. Medo, M., Zeng, A., Zhang, Y.-C., & Mariani, M. S. (2019). Optimal timescale for community detection in growing networks. New Journal of Physics, 21(9), 093066. doi.org/10.1088/1367-2630/ab413fZora

  16. Palazzi, M. J., Borge-Holthoefer, J., Tessone, C. J., & Solé-Ribalta, A. (2019). Macro- and mesoscale pattern interdependencies in complex networks. Journal of the Royal Society: Interface, 16(159), 20190553. doi.org/http://dx.doi.org/10.1098/rsif.2019.0553 Zora

  17. Pokropek, A., Davidov, E., & Schmidt, P. (2019). A Monte Carlo Simulation Study to Assess The Appropriateness of Traditional and Newer Approaches to Test for Measurement Invariance. Structural Equation Modeling, 26(5), 724–744. doi.org/10.1080/10705511.2018.1561293Zora

  18. Ramos, A., Davidov, E., Schmidt, P., Rosales, M. V., & Maskileyson, D. (2019). Immigration from the Immigrants’ Perspective: Analyzing Survey Data Collected among Immigrants and Host Society Members. Social Inclusion, 7(4), 253–256. doi.org/10.17645/si.v7i4.2695Zora

  19. Rogoza, R., Cieciuch, J., & Strus, W. (2019). A three-step procedure for analysis of circumplex models: An example of narcissism located within the circumplex of personality metatraits. Personality and Individual Differences, 169, 109775. doi.org/10.1016/j.paid.2019.109775Zora

  20. Skimina, E., Cieciuch, J., Schwartz, S. H., Davidov, E., & Algesheimer, R. (2019). Behavioral signatures of values in everyday behavior in retrospective and real-time self-reports. Frontiers in Psychology, 10, 281. doi.org/10.3389/fpsyg.2019.00281Zora

  21. Tasca, P., & Tessone, C. J. (2019). A Taxonomy of Blockchain Technologies: Principles of Identification and Classification. Ledger, 4, 1–39. doi.org/10.5195/ledger.2019.140Zora

  22. Zhang, S., Medo, M., Lü, L., & Mariani, M. S. (2019). The long-term impact of ranking algorithms in growing networks. Information Sciences, 488, 257–271. doi.org/10.1016/j.ins.2019.03.021Zora

  23. Zhou, F., Lü, L., & Mariani, M. S. (2019). Fast influencers in complex networks. Communications in Nonlinear Science and Numerical Simulation, 74, 69–83. doi.org/10.1016/j.cnsns.2019.01.032Zora

2018

  1. Algesheimer, R., Bagozzi, R. P., & Dholakia, U. M. (2018). Key Informant Models for Measuring Group-level Variables in Small Groups: Application to Plural Subject Theory. Sociological Methods and Research, 47(2), 277–313. doi.org/10.1177/0049124115613782Zora

  2. Caprara, G. V., Vecchione, M., Schwartz, S. H., Schoen, H., Bain, P. G., Silvester, J., Cieciuch, J., Pavlopoulos, V., Bianchi, G., Kirmanoglu, H., Baslevent, C., Mamali, C., Manzi, J., Katayama, M., Posnova, T., Tabernero, C., Torres, C., Verkasalo, M., Lönnqvist, J.-E., Vondrakova, E., Caprara, M. G. (2018). The Contribution of Religiosity to Ideology: Empirical Evidences From Five Continents. Cross-Cultural Research, 52(5), 524–541. doi.org/10.1177/1069397118774233Zora

  3. Cieciuch, J., Davidov, E., Algesheimer, R., & Schmidt, P. (2018). Testing for Approximate Measurement Invariance of Human Values in the European Social Survey. Sociological Methods and Research, 47(4), 665–686. doi.org/10.1177/0049124117701478Zora

  4. Davidov, E., Cieciuch, J., & Schmidt, P. (2018). The cross-country measurement comparability in the immigration module of the European Social Survey 2014–15. Survey Research Methods, 12(1), 15–27. doi.org/10.18148/srm/2018.v12i1.7212Zora

  5. Davidov, E., Dülmer, H., Cieciuch, J., Kuntz, A., Seddig, D., & Schmidt, P. (2018). Explaining Measurement Nonequivalence Using Multilevel Structural Equation Modeling: The Case of Attitudes Toward Citizenship Rights. Sociological Methods and Research, 47(4), 729–760. doi.org/10.1177/0049124116672678Zora

  6. Davidov, E., Muthen, B., & Schmidt, P. (2018). Measurement Invariance in Cross-National Studies: Challenging Traditional Approaches and Evaluating New Ones. Sociological Methods and Research, 47(4), 631–636. doi.org/10.1177/0049124118789708Zora

  7. Iannelli, F., Mariani, M. S., & Sokolov, I. M. (2018). Influencers identification in complex networks through reaction-diffusion dynamics. Physical Review E, 98(6), 768. doi.org/10.1103/PhysRevE.98.062302Zora

  8. Lin, J. H., Tessone, C. J., & Mariani, M. S. (2018). Nestedness maximization in complex networks through the fitness-complexity algorithm. Entropy, 20(10), 1–11. doi.org/10.3390/e20100760Zora

  9. Medo, M., Mariani, M., & Lü, L. (2018). Link Prediction in Bipartite Nested Networks. Entropy, 20(10), 777. doi.org/10.3390/e20100777Zora

  10. Meuleman, B., Davidov, E., & Billiet, J. (2018). Modeling Multiple-country Repeated Cross-sections. A Societal Growth Curve Model for Studying the Effect of the Economic Crisis on Perceived Ethnic Threat. Methods, Data, Analyses, 12(2), 185–210. doi.org/10.12758/mda.2017.10Zora

  11. Meuleman, B., Davidov, E., & Seddig, D. (2018). Editorial: Comparative survey analysis - Models, techniques, and applications. Methods, Data, Analyses, 12(2), 181–184. https://doi.org/10.5167/uzh-158679Zora

  12. Meuleman, B., Davidov, E., & Seddig, D. (2018). Editorial: Comparative survey analyses - Comparability and equivalence of measures. Methods, Data, Analyses, 12(1), 3–6. https://doi.org/10.5167/uzh-151283Zora

  13. Najderska, M., & Cieciuch, J. (2018). The structure of character strengths: Variable- and person-centered approaches. Frontiers in Psychology, 9, 153. doi.org/10.3389/fpsyg.2018.00153Zora

  14. Ren, Z. M., Mariani, M. S., Zhang, Y. C., & Medo, M. (2018). Randomizing growing networks with a time-respecting null model. Physical Review E, 97(5), 052311. doi.org/10.1103/PhysRevE.97.052311Zora

  15. Rudnev, M., Lytkina, E., Davidov, E., Schmidt, P., & Zick, A. (2018). Testing Measurement Invariance for a Second-Order Factor. A Cross-National Test of the Alienation Scale. Methods, Data, Analyses, 12(1), 47-76. doi.org/10.12758/mda.2017.11Zora

  16. Schoenenberger, L., & Tanase, R. (2018). Controlling complex policy problems: A multimethodological approach using system dynamics and network controllability. Journal of Simulation, 12(2), 162–170. doi.org/10.1080/17477778.2017.1387335Zora

  17. Seddig, D., & Davidov, E. (2018). Values, attitudes toward interpersonal violence, and interpersonal violent behavior. Frontiers in Psychology, 9, 604. doi.org/10.3389/fpsyg.2018.00604Zora

  18. Skimina, E., Cieciuch, J., Schwartz, S. H., Davidov, E., & Algesheimer, R. (2018). Testing the circular structure and importance hierarchy of value states in real-time behaviors. Journal of Research in Personality, 74, 42–49. doi.org/10.1016/j.jrp.2018.02.001Zora

  19. Solé-Ribalta, A., Tessone, C. J., Mariani, M. S., & Borge-Holthoefer, J. (2018). Revealing in-block nestedness: Detection and benchmarking. Physical Review E, 97(6), 062302. doi.org/10.1103/PhysRevE.97.062302Zora

  20. Tanase, R., Tessone, C. J., & Algesheimer, R. (2018). Identification of influencers through the wisdom of crowds. PLoS ONE, 13(7), e0200109. doi.org/10.1371/journal.pone.0200109Zora

  21. Vaccario, G., Tomasello, M. V., Tessone, C. J., & Schweitzer, F. (2018). Quantifying knowledge exchange in R&D networks: a data-driven model. Journal of Evolutionary Economics, 28(3), 461–493. doi.org/10.1007/s00191-018-0569-1Zora

  22. Żemojtel-Piotrowska, M., Piotrowski, J. P., Osin, E. N., Cieciuch, J., Adams, B. G., Ardi, R., … Maltby, J. (2018). The mental health continuum-short form: The structure and application for cross-cultural studies – A 38 nation study. Journal of Clinical Psychology, 74(6), 1034–1052. doi.org/10.1002/jclp.22570Zora

  23. Zhang, Z., Liu, L., Wang, H., Li, J., Hu, D., Yan, J., Algesheimer, R., Meierer, M. (2018). Collective behavior learning by differentiating personal preference from peer influence. Knowledge-Based Systems, 159, 233–243. doi.org/10.1016/j.knosys.2018.06.027Zora

2017

  1. Cabooter, E., Weijters, B., De Beuckelaer, A., & Davidov, E. (2017). Is extreme response style domain specific? Findings from two studies in four countries. Quality and Quantity, 51(6), 2605–2622. doi.org/10.1007/s11135-016-0411-5Zora

  2. Caprara, G. V., Vecchione, M., Schwartz, S. H., Schoen, H., Bain, P. G., Silvester, J., Cieciuch, J., Pavlopoulos, V., Bianchi, G., Kirmanoglu, H., Basievent, C., Mamali, C., Manzi, J., Katayama, M., Posnova, T., Tabernero, C., Torres, C., Verkasalo, M., Lönnqvist, J.-E., Vondrakova, E., Caprara, M. G. (2017). Basic Values, Ideological Self-Placement, and Voting: A Cross-Cultural Study. Cross-Cultural Research, 51(4), 388–411. doi.org/10.1177/1069397117712194Zora

  3. Chen, J., Chen, H., Wu, Z., Hu, D., & Pan, J. Z. (2017). Forecasting smog-related health hazard based on social media and physical sensor. Information Systems, 64, 281–291. doi.org/10.1016/j.is.2016.03.011Zora

  4. Davidov, E., & Semyonov, M. (2017). Attitudes toward immigrants in European societies. International Journal of Comparative Sociology, 58(5), 359–366. doi.org/10.1177/0020715217732183Zora

  5. Delre, S. A., Panico, C., & Wierenga, B. (2017). Competitive strategies in the motion picture industry: An ABM to study investment decisions. International Journal of Research in Marketing, 34(1), 69–99. doi.org/10.1016/j.ijresmar.2016.05.005Zora

  6. Grimm, A., & Tessone, C. J. (2017). Analysing the sensitivity of nestedness detection methods. Applied Network Science, 2, 37. doi.org/10.1007/s41109-017-0057-9Zora

  7. Hercowitz-Amir, A., Raijman, R., & Davidov, E. (2017). Host or hostile? Attitudes towards asylum seekers in Israel and in Denmark. International Journal of Comparative Sociology, 58(5), 416–439. doi.org/10.1177/0020715217722039Zora

  8. Kuntz, A., Davidov, E., & Semyonov, M. (2017). The dynamic relations between economic conditions and anti-immigrant sentiment: A natural experiment in times of the European economic crisis. International Journal of Comparative Sociology, 58(5), 392–415. doi.org/10.1177/0020715217690434Zora

  9. Rosenbaum, M. S., Kelleher, C., Friman, M., Kristensson, P., & Scherer, A. (2017). Re-placing place in marketing: A resource-exchange place perspective. Journal of Business Research, 79, 281–289. doi.org/10.1016/j.jbusres.2017.01.009Zora

  10. Różycka-Tran, J., Truong, T. K. H., Cieciuch, J., & Schwartz, S. H. (2017). Universals and specifics of the structure and hierarchy of basic human values in Vietnam. Health Psychology Report, 5(3), 193–204. doi.org/10.5114/hpr.2017.65857Zora

  11. Sagiv, L., Roccas, S., Cieciuch, J., & Schwartz, S. H. (2017). Personal values in human life. Nature Human Behaviour, 1(9), 630–639. doi.org/10.1038/s41562-017-0185-3Zora

  12. Schwartz, S. H., Cieciuch, J., Vecchione, M., Torres, C., Dirilen-Gumus, O., & Butenko, T. (2017). Value tradeoffs propel and inhibit behavior: Validating the 19 refined values in four countries. European Journal of Social Psychology, 47(3), 241–258. doi.org/10.1002/ejsp.2228Zora

  13. Strus, W., & Cieciuch, J. (2017). Towards a synthesis of personality, temperament, motivation, emotion and mental health models within the Circumplex of Personality Metatraits. Journal of Research in Personality, 66, 70–95. doi.org/10.1016/j.jrp.2016.12.002Zora

  14. Yang, Z., Algesheimer, R., & Dholakia, U. (2017). When Ethical Transgressions of Customers Have Beneficial Long-Term Effects in Retailing: An Empirical Investigation. Journal of Retailing, 93(4), 420–439. doi.org/10.1016/j.jretai.2017.09.005Zora

  15. Yang, Z., Perotti, J. I., & Tessone, C. J. (2017). Hierarchical benchmark graphs for testing community detection algorithms. Physical Review E, 96(5), 052311. doi.org/10.1103/PhysRevE.96.052311Zora

  16. Żemojtel-Piotrowska, M. A., Piotrowski, J. P., Cieciuch, J., Calogero, R. M., Van Hiel, A., Argentero, P., … Wills-Herrera, E. (2017). Measurement of Psychological Entitlement in 28 Countries. European Journal of Psychological Assessment, 33(3), 207–217. doi.org/10.1027/1015-5759/a000286Zora

  17. Żemojtel-Piotrowska, M., Piotrowski, J. P., Cieciuch, J., Adams, B. G., Osin, E. N., Ardi, R., … Maltby, J. (2017). Measurement Invariance of Personal Well-Being Index (PWI-8) Across 26 Countries. Journal of Happiness Studies, 18(6), 1697–1711. doi.org/10.1007/s10902-016-9795-0Zora

2016

  1. Beierlein, C., Kuntz, A., & Davidov, E. (2016). Universalism, conservation and attitudes toward minority groups. Social Science Research, 58, 68–79.doi.org/10.1016/j.ssresearch.2016.02.002Zora

  2. Brzezińska, A. I., & Cieciuch, J. (2016). Identity formation in unstable times. Roczniki Psychologiczne / Annals of Psychology, 19(2), 213–220. doi.org/10.18290/rpsych.2016.19.2-1enZora

  3. Cieciuch, J., & Davidov, E. (2016). Establishing measurement invariance across online and offline samples. A tutorial with the software packages Amos and Mplus. Studia Psychologica: Theoria Et Praxis, 2(15), 83–99. doi.org/10.21697/sp.2015.14.2.06Zora

  4. Cieciuch, J., Davidov, E., & Algesheimer, R. (2016). The Stability and Change of Value Structure and Priorities in Childhood: A Longitudinal Study. Social Development, 25(3), 503–527. doi.org/10.1111/sode.12147Zora

  5. Delre, S. A., Broekhuizen, T. L. J., & Bijmolt, T. H. A. (2016). The Effects of Shared Consumption on Product Life Cycles and Advertising Effectiveness: The Case of the Motion Picture Market. Journal of Marketing Research, 53(4), 608–627. doi.org/10.1509/jmr.14.0097Zora

  6. Kłym-Guba, M., & Cieciuch, J. (2016). The dynamics of identity exploration in various domains in early adolescence: The results of a longitudinal study. Roczniki Psychologiczne / Annals of Psychology, 19(2), 239–255. doi.org/10.18290/rpsych.2016.19.2-2enZora

  7. Kostyra, D. S., Reiner, J., Natter, M., & Klapper, D. (2016). Decomposing the effects of online customer reviews on brand, price, and product attributes. International Journal of Research in Marketing, 33(1), 11–26. doi.org/10.1016/j.ijresmar.2014.12.004Zora

  8. Titzmann, P. F., Serwata, O. J., Silbereisen, R. K., & Davidov, E. (2016). A Comparative Perspective on Mothers’ Ethnic Homophily Among Minority Groups in Germany and Israel. Journal of Cross-Cultural Psychology, 47(8), 1076–1096. doi.org/10.1177/0022022116658245Zora

  9. Tomasello, M. V., Tessone, C. J., & Schweitzer, F. (2016). A model of dynamic rewiring and knowledge exchange in R&D networks. Advances in Complex Systems, 19(1), 1650004. doi.org/10.1142/s0219525916500041Zora

  10. Yang, Z., Algesheimer, R., & Tessone, C. J. (2016). A Comparative Analysis of Community Detection Algorithms on Artificial Networks. Scientific Reports, 6, 30750. https://doi.org/10.1038/srep30750Zora

2015

  1. Cieciuch, J., Davidov, E., Oberski, D. L., & Algesheimer, R. (2015). Testing for measurement invariance by detecting local misspecification and an illustration across online and paper-and-pencil samples. European Political Science, 14(4), 521–538. doi.org/10.1057/eps.2015.64Zora

  2. Davidov, E., Cieciuch, J., Meuleman, B., Schmidt, P., Algesheimer, R., & Hausherr, M. (2015). The comparability of measurements of attitudes toward immigration in the European social survey: Exact versus approximate measurement equivalence. Public Opinion Quarterly, 79(S1), 244–266. doi.org/10.1093/poq/nfv008Zora

  3. Karaś, D., Cieciuch, J., Negru, O., & Crocetti, E. (2015). Relationships Between Identity and Well-Being in Italian, Polish, and Romanian Emerging Adults. Social Indicators Research, 121(3), 727–743. doi.org/10.1007/s11205-014-0668-9Zora

  4. Kuntz, A., Davidov, E., Schwartz, S. H., & Schmidt, P. (2015). Human values, legal regulation, and approval of homosexuality in Europe: A cross-country comparison. European Journal of Social Psychology, 45(1), 120–134. doi.org/10.1002/ejsp.2068Zora

  5. Meuleman, B., Davidov, E., Cieciuch, J., Billiet, J., & Schmidt, P. (2015). Meetequivalentie in internationaal vergelijkend onderzoek [Measurement invariance in international comparative research]. Tijdschrift Voor Sociologie, 35(4), 261–281. doi.org/10.21825/sociologos.86859Zora

  6. Perotti, J. I., Tessone, C. J., & Caldarelli, G. (2015). Hierarchical mutual information for the comparison of hierarchical community structures in complex networks. Physical Review E, 92, 062825. doi.org/10.1103/PhysRevE.92.062825Zora

  7. Sarrasin, O., Green, E. G. T., Fasel, N., & Davidov, E. (2015). Does Survey Respondents’ Immigrant Background Affect the Measurement and Prediction of Immigration Attitudes ? An Illustration in Two Steps. International Journal of Public Opinion Research, 27(2), 264–276. doi.org/10.1093/ijpor/edu015Zora

  8. Vecchione, M., Schwartz, S. H., Caprara, G. V., Schoen, H., Cieciuch, J., Silvester, J., Bain, P., Bianchi, G., Kirmanogllu, H., Basievent, C., Mamali, C., Manzi, J., Pavlopoulos, V., Posnova, T., Torres, C., Verkasalo, M., Lönnqvist, J.-E., Vondrakova, E., Welzel, C., & Alessandri, G. (2015). Personal values and political activism: A cross-national study. British Journal of Psychology, 106(1), 84–106. doi.org/10.1111/bjop.12067Zora

  9. Zercher, F., Schmidt, P., Cieciuch, J., & Davidov, E. (2015). The comparability of the universalism value over time and across countries in the European Social Survey: Exact vs. approximate measurement invariance. Frontiers in Psychology, 6, 733. doi.org/10.3389/fpsyg.2015.00733Zora

2014

  1. Cieciuch, J., Davidov, E., Schmidt, P., Algesheimer, R., & Schwartz, S. H. (2014). Comparing results of an exact versus an approximate (Bayesian) measurement invariance test: A cross-country illustration with a scale to measure 19 human values. Frontiers in Psychology, 5, 982. doi.org/10.3389/fpsyg.2014.0098Zora

  2. Cieciuch, J., Davidov, E., Vecchione, M., Beierlein, C., & Schwartz, S. H. (2014). The Cross-National Invariance Properties of a New Scale to Measure 19 Basic Human Values: A Test Across Eight Countries. Journal of Cross-Cultural Psychology, 45(5), 764–776. doi.org/10.1177/0022022114527348Zora

  3. Cieciuch, J., Davidov, E., Vecchione, M., & Schwartz, S. H. (2014). A hierarchical structure of basic human values in a third-order confirmatory factor analysis. Swiss Journal of Psychology, 73(3), 177–182. doi.org/10.1024/1421-0185/a000134Zora

  4. Cieciuch, J., & Łaguna, M. (2014). Wielka Piatka i nie tylko. Cechy osobowości i ich pomiar. Roczniki Psychologiczne, 17(2), 239–247. doi.org/10.3389/fpsyg.2014.0098Zora

  5. Davidov, E., Meuleman, B., Cieciuch, J., Schmidt, P., & Billiet, J. (2014). Measurement Equivalence in Cross-National Research. Annual Review of Sociology, 40, 55–75. doi.org/10.1146/annurev-soc-071913-043137Zora

  6. Davidov, E., Meulemann, B., Schwartz, S. H., & Schmidt, P. (2014). Individual values, cultural embeddedness, and anti-immigration sentiments: Explaining differences in the effect of values on attitudes toward immigration across Europe. Kölner Zeitschrift für Soziologie und Sozialpsychologie, 66(S1), 263–285. doi.org/10.3389/fpsyg.2014.0098Zora

  7. Hochman, O., & Davidov, E. (2014). Relations between second-language proficiency and national identification: the case of immigrants in Germany. European Sociological Review, 30(3), 344–359. doi.org/10.1093/esr/jcu043Zora

  8. Karaś, D., Cieciuch, J., & Keyes, C. L. M. (2014). The Polish adaptation of the Mental Health Continuum-Short Form (MHC-SF). Personality and Individual Differences, 69, 104–109. doi.org/10.1016/j.paid.2014.05.011Zora

  9. Rowiński, T., Cieciuch, J., & Oakland, T. (2014). The Factorial Structure of Four Temperament Styles and Measurement Invariance Across Gender and Age Groups. Journal of Psychoeducational Assessment, 32(1), 77–82. doi.org/10.1177/0734282913487045Zora

  10. Schwartz, S. H., Caprara, G. V., Vecchione, M., Bain, P., Bianchi, G., Caprara, M. G., Cieciuch, J., Kirmanoglu, H., Basievent, C., Lönnqvist, J.-E., Mamali, C., Manzi, J., Pavlopoulos, V., Posnova, T., Schoen, H., Silvester, J., Tabernero, C., Toores, C., Verkasalo, M., Vondrakova, E., Welzel, C., & Zaleski, Z.(2014). Basic Personal Values Underlie and Give Coherence to Political Values: A Cross National Study in 15 Countries. Political Behavior, 36(4), 899–930. doi.org/10.1007/s11109-013-9255-zZora

  11. Strus, W., & Cieciuch, J. (2014). Poza wielką piątkę - przegląd nowych modeli struktury osobowości [Beyond the Big Five – review of new models of personality structure]. Polskie Forum Psychologiczne, 19(1), 17–49. 10.14656/PFP20140102Zora

  12. Strus, W., Cieciuch, J., & Rowiński, T. (2014). The polish adaptation of the IPIP-BFM-50 questionnaire for measuring five personality traits in the lexical approach. Roczniki Psychologiczne / Annals of Psychology, 17(2), 347–366.Zora

  13. Topolewska, E., Skimina, E., Strus, W., Cieciuch, J., & Rowiński, T. (2014). The short IPIP-BFM-20 Questionnaire for measuring the Big Five. Roczniki Psychologiczne / Annals of Psychology, 17(2), 385–402.Zora

2013

  1. Cieciuch, J., Schwartz, S. H., & Vecchione, M. (2013). Applying the Refined Values Theory to Past Data: What Can Researchers Gain? Journal of Cross-Cultural Psychology, 44(8), 1215–1234. doi.org/10.1177/0022022113487076Zora

  2. Coromina, L., & Davidov, E. (2013). Evaluating Measurement Invariance for Social and Political Trust in Western Europe over Four Measurement Time Points (2002-2008). ASK. Research & Methods, 22(1), 37–54. doi.org/10.5167/uzh-92161Zora

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