Skip to main content
Original Article

Modularity of the Personality Network

Published Online:https://doi.org/10.1027/1015-5759/a000613

Abstract. The Five Factor Model (FFM) is the most widely used personality model; it proposes a hierarchical structure of personality with personality characteristics, facets, and factors. An increasing number of studies have challenged the FFM and a plethora of factor models with varying numbers of facets and factors have been proposed, leading to uncertainties about the structure of personality. The networked system of interactions between personality characteristics has stimulated promising progresses, however, the methodological developments needed to map the topological structure and functional organization remain scarce. This study aims to explore the hierarchical modular structure of the personality network and the functional role of personality characteristics. A sample of 345,780 individuals (Mage = 24.99, SDage = 10.00; 59.18% female) that completed the International Personality Item Pool – NEO-120 in a previous study was reanalyzed. A non-regularized method was used to estimate the personality network and ModuLand was used to characterize its modular structure. Results revealed a modular structure comprising three levels: one level with the 120 personality characteristics, a second level with 35 modules, and a third with 9 modules. Such results suggest that specific personality characteristics and modules have specialized roles in the topological structure of the personality network.

References

  • Adamcsek, B., Palla, G., Farkas, J., Derényi, I., & Vicsek, T. (2006). CFinder: Locating cliques and overlapping modules in biological networks. Bioinformatics, 22, 1021–1023. https://doi.org/10.1093/bioinformatics/btl039 First citation in articleCrossrefGoogle Scholar

  • Bäckström, M. (2007). Higher-order factors in a five-factor personality inventory and its relation to social desirability. European Journal of Psychological Assessment, 23(2), 63–70. https://doi.org/10.1027/1015-5759.23.2.63 First citation in articleLinkGoogle Scholar

  • Baumert, A., Schmitt, M., Perugini, M., Johnson, W., Blum, G., Borkenau, P., Costantini, G., Denissen, J. J. A., Fleeson, W., Grafton, B., Jayawickreme, E., Kurzius, E., MacLeod, C., Miller, L. C., Read, S. J., Roberts, B., Robinson, M. D., Wood, D., & Wrzus, C. (2017). Integrating Personality structure, personality process, and personality development. European Journal of Personality, 31(5), 503–528. https://doi.org/10.1002/per.2115 First citation in articleCrossrefGoogle Scholar

  • Bekhuis, E., Schoevers, R., Van Borkulo, D., Rosmalen, M., & Boschloo, L. (2016). The network structure of major depressive disorder generalized anxiety disorder and somatic symptomatology. Psychological Medicine, 46(14), 2989–2998. https://doi.org/10.1017/S0033291716001550 First citation in articleCrossrefGoogle Scholar

  • Birkeland, S., & Heir, T. (2017). Making connections: exploring the centrality of posttraumatic stress symptoms and covariates after terrorist attack. European Journal of Psychotraumatology, 8, 1333387. https://doi.org/10.1080/20008198.2017.1333387 First citation in articleCrossrefGoogle Scholar

  • Blanken, T. F., Deserno, M. K., Dalege, J., Borsboom, D., Blanken, P., Kerkhof, G. A., & Cramer, A. (2018). The role of stabilizing and communicating symptoms given overlapping communities in psychopathology networks. Scientific Reports, 8, Article 5854. https://doi.org/10.1038/s41598-018-24224-2 First citation in articleCrossrefGoogle Scholar

  • Borsboom, D. (2006). The attack of psychometricians. Psychometrika, 71(3), 425–440. https://doi.org/10.1007/s11336-006-1447-6 First citation in articleCrossrefGoogle Scholar

  • Borsboom, D. (2017). A network theory of mental disorders. World Psychiatry, 16(1), 5–13. https://doi.org/10.1002/wps.20375 First citation in articleCrossrefGoogle Scholar

  • Castro, D., Ferreira, F., Mendes, A., & Ferreira, T. (2018). Bridges between bipolar and borderline personality disorders: Clarifying comorbidity through the analysis of the complex network of connections between symptoms. The Psychologist Practice and Research Journal, 1(1). First citation in articleCrossrefGoogle Scholar

  • Christensen, A. P., Cotter, K. N., & Silvia, P. J. (2019). Reopening openness to experience: A network analysis of four openness to experience inventories. Journal of Personality Assessment, 101(6), 574–588. https://doi.org/10.1080/00223891.2018.1467428 First citation in articleCrossrefGoogle Scholar

  • Costantini, G., Epskamp, S., Borsboom, D., Perugini, M., Mõttus, R., Waldorp, L. J., & Cramer, A. O. J. (2015). State of the aRt personality research: A tutorial on network analysis of personality data in R. Journal of Research in Personality, 54, 13–29. https://doi.org/10.1016/j.jrp.2014.07.003 First citation in articleCrossrefGoogle Scholar

  • Costantini, G., & Perugini, M. (2016). The network of conscientiousness. Journal of Research in Personality, 65, 68–88. https://doi.org/10.1016/j.jrp.2016.10.003 First citation in articleCrossrefGoogle Scholar

  • Costantini, G., Richetin, J., Preti, E., Casini, E., Epskamp, S., & Perugini, M. (2019). Stability and variability of personality networks. A tutorial on recent developments in network psychometrics. Personality and Individual Differences, 136, 68–78. https://doi.org/10.1016/j.paid.2017.06.011 First citation in articleCrossrefGoogle Scholar

  • Cramer, A., & Borsboom, D. (2015). Problems attack problems: A network perspective on mental disorders. In R. ScottS. KosslynEds., Emerging trends in the social and behavioral sciences (pp. 1–15). Wiley. https://doi.org/10.1002/9781118900772.etrds0264 First citation in articleGoogle Scholar

  • Cramer, A., Sluis, S., Noordhof, A., Wichers, M., Geschwind, N., Aggen, S., Kendler, K., & Borsboom, D. (2012). Dimensions of normal personality as networks in search of equilibrium: You can’t like parties if you don’t like people. European Journal of Personality, 431, 414–431. https://doi.org/10.1002/per.1866 First citation in articleCrossrefGoogle Scholar

  • Cramer, A., Waldorp, L., Maas, H., & Borsboom, D. (2010). Comorbidity: A network perspective. Behavioral and Brain Science, 33, 137–193. https://doi.org/10.1017/S0140525X09991567 First citation in articleCrossrefGoogle Scholar

  • Csárdi, G. (2019). Network analysis and visualization (R package version 1.2.4.1).. https://cran.r-project.org/web/packages/igraph/igraph.pdf First citation in articleGoogle Scholar

  • Curtiss, J., & Klemanski, D. H. (2016). Taxonicity and network structure of generalized anxiety disorder and major depressive disorder: An admixture analysis and complex network analysis. Journal of Affective Disorders, 199, 99–105. https://doi.org/10.1016/j.jad.2016.04.007 First citation in articleCrossrefGoogle Scholar

  • DeYoung, C. G., Quilty, L. C., & Peterson, J. B. (2007). Between facets and domains: 10 aspects of the Big Five. Journal of Personality and Social Psychology, 93(5), 880–896. https://doi.org/10.1037/0022-3514.93.5.880 First citation in articleCrossrefGoogle Scholar

  • Digman, J. M. (1989). Five robust trait dimensions: Development, stability, and utility. Journal of Personality, 57(2), 195–214. https://doi.org/10.1111/j.1467-6494.1989.tb00480.x First citation in articleCrossrefGoogle Scholar

  • Digman, J. M. (1997). Higher-order factors of the Big Five. Journal of Personality and Social Psychology, 73(6), 1246–1256. https://doi.org/10.1037/0022-3514.73.6.1246 First citation in articleCrossrefGoogle Scholar

  • Epskamp, S., Borsboom, D., & Fried, E. I. (2018). Estimating psychological networks and their accuracy: A tutorial paper. Behavior Research Methods, 50(1), 195–212. https://doi.org/10.3758/s13428-017-0862-1 First citation in articleCrossrefGoogle Scholar

  • Epskamp, S., Cramer, A. O., Waldorp, L. J., Schmittmann, V. D., & Borsboom, D. (2012). qgraph: Network visualizations of relationships in psychometric data. Journal of Statistical Software, 48(4), 1–18. https://doi.org/10.18637/jss.v048.i04 First citation in articleCrossrefGoogle Scholar

  • Franić, S., Borsboom, D., Dolan, C. V., & Boomsma, D. I. (2014). The Big Five personality traits: Psychological entities or statistical constructs? Behavior Genetics, 44(6), 591–604. https://doi.org/10.1007/s10519-013-9625-7 First citation in articleCrossrefGoogle Scholar

  • Goekoop, R., Goekoop, J. G., & Scholte, H. S. (2012). The network structure of human personality according to the NEO-PI-R: Matching network community structure to factor structure. PLoS One, 7(12), e51558. https://doi.org/10.1371/journal.pone.0051558 First citation in articleCrossrefGoogle Scholar

  • Golino, H. F., & Epskamp, S. (2017). Exploratory graph analysis: A new approach for estimating the number of dimensions in psychological research. PLoS One, 12(6), e0174035. https://doi.org/10.1371/journal.pone.0174035 First citation in articleCrossrefGoogle Scholar

  • John, O. P., Naumann, L., & Soto, J. (2008). Paradigm shift to the integrative Big Five trait taxonomy: History, measurement and conceptual issues. In O. JohnW. RobinL. PervinEds., Handbook of personality: Theory and research (pp. 114–158). Guildford Press. First citation in articleGoogle Scholar

  • Johnson, J. A. (2014). Measuring thirty facets of the five-factor model with a 120-item public domain inventory: Development of the IPIP-NEO-120. Journal of Research in Personality, 51, 78–89. https://doi.org/10.1016/j.jrp.2014.05.003 First citation in articleCrossrefGoogle Scholar

  • Jones, P., Ma, R., & McNally, R. (2019). Bridge centrality: A network approach to understanding comorbidity. Multivariate Behavioral Research, 1–15. https://doi.org/10.1080/00273171.2019.1614898 First citation in articleCrossrefGoogle Scholar

  • Jones, P., Mair, P., Riemann, B. C., Mugno, B. L., & McNally, R. J. (2018). A network perspective on comorbid depression in adolescents with obsessive-compulsive disorder. Journal of Anxiety Disorders, 53, 1–8. https://doi.org/10.1016/j.janxdis.2017.09.008 First citation in articleCrossrefGoogle Scholar

  • Knefel, M., Tran, S., & Lueger-Schuster, B. (2016). The association of posttraumatic stress disorder, complex posttraumatic stress disorder, and borderline personality disorder from a network analytical perspective. Journal of Anxiety Disorders, 43, 70–78. https://doi.org/10.1016/j.janxdis.2016.09.002 First citation in articleCrossrefGoogle Scholar

  • Kovács, I., Palotai, R., Szalay, M., & Csermely, P. (2010). Community landscapes: an integrative approach to determine overlapping network module hierarchy, identify key nodes and predict network dynamics. PLoS One, 5(9), Article e12528. https://doi.org/10.1371/journal.pone.0012528 First citation in articleCrossrefGoogle Scholar

  • Letina, S., Blanken, T., Deserno, M., & Borsboom, D. (2019). Expanding network analysis tools in psychological networks: Minimal spanning trees, participation coefficients, and motif analysis applied to a network of 26 psychological attributes. Complexity, 2019, Article 9424605. https://doi.org/10.1155/2019/9424605 First citation in articleCrossrefGoogle Scholar

  • Levinson, C. A., Zerwas, S., Calebs, B., Kordy, H., Hofmeier, S., Collaborative, V., & Bulik, C. M. (2017). The core symptoms of bulimia nervosa, anxiety, and depression: A network analysis. Journal of Abnormal Psychology, 126(3), 340–354. https://doi.org/10.1037/abn0000254 First citation in articleCrossrefGoogle Scholar

  • Mantegna, R. (1999). Hierarchical structure of financial markets. The European Physical Journal, 11, 193–197. https://doi.org/10.1007/s100510050929 First citation in articleCrossrefGoogle Scholar

  • McCrae, R. (2009). The Five-Factor Model of personality traits: Consensus and controversy. In P. CorrG. MatthewsEds., The Cambridge handbook of personality psychology (pp. 148–161). Cambridge University Press. First citation in articleGoogle Scholar

  • McCrae, R. R., & Costa, P. T. (1997). Personality Trait Structure as a Human Universal. American Psychologist, https://doi.org/10.1037/0003-066X.52.5.509 First citation in articleCrossrefGoogle Scholar

  • McCrae, R., & Costa, P. (2008). The five factor theory of personality. In O. JohnW. RobinL. PervinEds., Handbook of psychotherapy theory and research (pp. 139–153). Guilford Press. First citation in articleGoogle Scholar

  • McCrae, R., & John, O. (1992). An introduction to the five-factor model and its applications. Journal of Personality, 60(2), 175–275. https://doi.org/10.1111/j.1467-6494.1992.tb00970.x First citation in articleCrossrefGoogle Scholar

  • McCrae, R., Zonderman, A., Costa, P., Bond, M., & Paunonen, S. (1996). Evaluating replicability of factors in the revised NEO Personality Inventory: Confirmatory factor analysis versus prosecutes rotation. Journal of Personality and Social Psychology, 70(3), 552–566. https://doi.org/10.1037/0022-3514.70.3.552 First citation in articleCrossrefGoogle Scholar

  • McNally, R. J., Mair, P., Mugno, B. L., & Riemann, B. C. (2017). Co-morbid obsessive-compulsive disorder and depression: A Bayesian network approach. Psychological Medicine, 47(7), 1204–1214. https://doi.org/10.1017/S0033291716003287 First citation in articleCrossrefGoogle Scholar

  • Mõttus, R., & Allerhand, M. H. (2018). Why do traits come together? The underlying trait and network approaches. In V. Zeigler-HillT. K. ShackelfordEds., The SAGE handbook of personality and individual differences: The science of personality and individual differences (pp. 130–151). Sage Reference. https://doi.org/10.4135/9781526451163.n6 First citation in articleGoogle Scholar

  • Mõttus, R., Kandler, C., Bleidorn, W., Riemann, R., & McCrae, R. R. (2017). Personality traits below facets: The consensual validity, longitudinal stability, heritability, and utility of personality nuances. Journal of Personality and Social Psychology, 112(3), 474–490. https://doi.org/10.1037/pspp0000100 First citation in articleCrossrefGoogle Scholar

  • Newman, M. (2006). Modularity and community structure in networks. Proceedings of the National Academy of Sciences of the United States of America, 103(23), 8577–8582. https://doi.org/10.1073/pnas.0601602103 First citation in articleCrossrefGoogle Scholar

  • Palla, G., Derényi, I., Farkas, I., & Vicsek, T. (2005). Uncovering the overlapping community structure of complex networks in nature and society. Nature, 435(7043), 814–818. https://doi.org/10.1038/nature03607 First citation in articleCrossrefGoogle Scholar

  • Price, M., Legrand, A., Brier, Z., & Hébert-Dufresne, L. (2019). The symptoms at the center: Examining the comorbidity of posttraumatic stress disorder, generalized anxiety disorder, and depression with network analysis. Journal of Psychiatric Research, 109, 52–58. https://doi.org/10.1016/j.jpsychires.2018.11.016 First citation in articleCrossrefGoogle Scholar

  • R Development Core Team. (2018). R: A language and environment for statistical computing, R Foundation for Statistical Computing. First citation in articleGoogle Scholar

  • Seeboth, A., & Mõttus, R. (2018). Successful explanations start with accurate descriptions: Questionnaire items as personality markers for more accurate predictions. European Journal of Personality, 32(3), 186–201. https://doi.org/10.1002/per.2147 First citation in articleCrossrefGoogle Scholar

  • Shannon, P., Markiel, A., Ozier, Owen., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003). Cytoscape: A software environment for integrated models of biomolecular interaction networks. Genome Research, 13(11), 2498–2504. https://doi.org/10.1101/gr.1239303.metabolite First citation in articleCrossrefGoogle Scholar

  • Shedler, J., & Westen, D. (2004). Dimensions of personality pathology: An alternative to the five-factor model. American Journal of Psychiatry, 161(10), 1743–1754. https://doi.org/10.1176/ajp.161.10.1743 First citation in articleCrossrefGoogle Scholar

  • Soto, C. J., & John, O. P. (2017). The next Big Five Inventory (BFI-2): Developing and the next Big Five Inventory (BFI-2): Developing and assessing a hierarchical model with 15 facets to enhance bandwidth, fidelity, and predictive power. Journal of Personality and Social Psychology, 13(1), 117–143. https://doi.org/10.1037/pspp0000096 First citation in articleCrossrefGoogle Scholar

  • Wakabayashi, A. (2014). A sixth personality domain that is independent of the Big Five domains: The psychometric properties of the HEXACO Personality Inventory in a Japanese sample. Japanese Psychological Research, 56(3), 211–223. https://doi.org/10.1111/jpr.12045 First citation in articleCrossrefGoogle Scholar

  • Williams, D. R., Rhemtulla, M., Wysocki, A., & Rast, P. (2019). On non-regularized estimation of psychological networks. Multivariate Behavioral Research, 54(5), 719–750. https://doi.org/10.1080/00273171.2019.1575716 First citation in articleCrossrefGoogle Scholar

  • Wright, A. G. C. (2017). The current state and future of factor analysis in personality disorder research. Personality Disorders: Theory, Research, and Treatment, 8(1), 14–25. https://doi.org/10.1037/per0000216 First citation in articleCrossrefGoogle Scholar

  • Ziegler, M., & Bäckström, M. (2016). 50 facets of a trait–50 ways to mess up? European Journal of Psychological Assessment, 32(2), 105–110. https://doi.org/10.1027/1015-5759/a000372 First citation in articleLinkGoogle Scholar