Friends don't Lie - Inferring personality traits from social network structure

UbiComp'12 - Proceedings of the 2012 ACM Conference on Ubiquitous Computing

Volumn , Issue , 2012, Pages 321-330

  Staiano, Jacopo ^a   Lepri, Bruno ^b   Aharony, Nadav ^b   Pianesi, Fabio ^c   Sebe, Nicu ^a   Pentland, Alex ^b  

^a UNIVERSITY OF TRENTO   (Italy)

^b MIT MEDIA LAB   (United States)

^c FONDAZIONE BRUNO KESSLER   (Italy)

Author keywords

Mobile sensing; Network structures; Personality recognition; Social computing

Indexed keywords

FEATURE SETS; FINE-GRAINED ANALYSIS; MOBILE SENSING; NETWORK STRUCTURES; PERSONALITY RECOGNITION; PERSONALITY TRAITS; REAL LIFE DATA; SOCIAL COMPUTING; SOCIAL NETWORK STRUCTURES; SOCIAL NETWORKS; STRUCTURAL NETWORKS;

UBIQUITOUS COMPUTING;

SOCIAL NETWORKING (ONLINE);

EID: 84867472248     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2370216.2370266     Document Type: Conference Paper

References (46)

1. Aharony, N., Pan, W., Ip, C., Khayal, I., and Pentland, A.: Social fMRI: Investigating and shaping social mechanisms in the real world. Pervasive Mob. Comput. 7(6), 643-659 (2011).
2. Bonacich, P.: Power and Centrality: A Family of Measures. American Journal of Sociology, 92, 1170-1182 (1987).
3. Borgatti, S.P. and Foster, P.: The network paradigm in organizational research: A review and typology. Journal of Management. 29(6), 991-1013 (2003).
4. Breiman, L.: Random Forests. Machine Learning, 45(1), (2001).
5. Brinkman, W.P. and Fine, N.: Towards customized emotional design: an explorative study of user personality and user interface skin preferences. EACE (2005).
6. Burt, R.S.: Structural holes: the social structure of competition. Harvard University Press (1992).
7. Caruana, R., Karampatziakis, N., and Yessenalina, A.: An empirical evaluation of supervised learning in high dimensions. ICML (2008).
8. Chittaranjan, G., Blom, J., and Gatica-Perez, D.: Who's who with Big-Five: Analyzing and Classifying Personality Traits with Smartphones. ISWC (2011).
9. Chittaranjan, G., Blom, J., and Gatica-Perez, D.: Mining Large-Scale Smartphone Data for Personality Studies. Personal and Ubiquitous Computing, in press.
10. Costa, P.T. and McCrae, R.R.: Revised NEO Personality Inventory (NEO-PI-R) and NEO Five-Factor Inventory (NEO-FFI) manual. Psychological Assessment Resources (1992).
11. Costa, P.T., McCrae, R.R., and Siegler, I.C.: Continuity and change over the adult life cycle: Personality and personality disorders. Personality and psychopathology, 129-153 (1999).
12. Davis, J.A. and Leinhardt, S.: The Structure of Positive Interpersonal Relations in Small Groups. In: Sociological Theories in Progress, 2, 218-251 (1972).
13. Eagle, N., Pentland, A., and Lazer, D.: Inferring Social Network Structure using Mobile Phone Data. PNAS (2007).
14. Eagle, N. and Pentland, A.: Reality mining: sensing complex social systems. Personal and Ubiquitous Computing, 10(4), 255-268 (2006).
15. Fogg, B.J. and Eckles, D.: The Behavior Chain for Online Participation: How Successful Web Services Structure Persuasion. Persuasive, 199-209 (2007).
16. Freeman, L.: Centrality in social networks: Conceptual clarification. Social Networks, 1(3), 215-239 (1979).
17. Gloor, P.A., Fischbach, K., Fuehres, H., Olguin, D., Pentland, A., and Putzke, J.: Towards "Honest Signals" of Creativity - The Association between Actors' Personality Characteristics, Body Movements and Embeddedness in Social Networks. COINs (2010).
18. Golbeck, J., Robles, C., Edmondson, M., and Turner, K.: Predicting Personality from Twitter. SocialCom/PASSAT (2011).
19. Goldberg, L. R.: An alternative "Description of personality": The Big-Five factor structure. Journal of Personality and Social Psychology, 59, 1216-1229 (1990).
20. Graham, L., Gosling, S.: Can the ambiance of a place be determined by the user profiles of the people who visit it? ICWSM (2011).
21. Granovetter, M.: The Strength of Weak Ties. American Journal of Sociology, 78(6), 1360-1380 (1973).
22. Hallinan, M.T. and Kubitschek, W.: The effects of individual and structural characteristics on intransitivity in social networks. Social Psychology Quarterly, (2), 81-92 (1988).
23. John, O.P. and Srivastava, S.: The Big Five trait taxonomy: History, measurement, and theoretical perspectives. In: Handbook of personality: Theory and research, 102-138 (1999).
24. Kalish, Y. and Robins, G.L.: Psychological predispositions and network structure: The relationship between individual predispositions, structural holes and network closure. Social Networks (2006).
25. Kanfer, A. and Tanaka, J.S.: Unraveling the Web of Personality Judgments: The Influence of Social Networks on Personality Assessment. Journal of Personality, 61(4) 711-738 (1993).
26. Klein, K.J., Lim, B.C., Saltz, J.L., and Mayer, D.M.: How do they get there? An examination of the antecedents of network centrality in team networks. Academy of Management Journal, 47, 952-963 (2004).
27. Kohavi, R.: A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection. IJCAI 1137-1143 (1995).
28. Lane, N.D., Miluzzo, E., Lu, H, Peebles, D., Choudhury, T., and Campbell, A.T: A Survey of Mobile Phone Sensing. IEEE Communications Magazine (2010).
29. Latora, V. and Marchiori, M.: Efficient Behavior of Small-World Networks. Phys. Rev. Lett. 87(19) (2001).
30. Latora, V. and Marchiori, M.: Economic Small-World Behavior in Weighted Networks. Eur. Phys. Journ. B Condensed Matter 32(2) (2003).
31. Latora, V. and Marchiori, M.: A measure of centrality based on the network efficiency. New J. Phys. 9, 188 (2007).
32. Lu, Y.E., Roberts, S., Lio, P., Dunbar, R., and Crowcroft, J.: Size matters: variation in personal network size, personality and effect on information transmission. ICCSE (2009).
33. Madan, A., Cebrian, M., Lazer, D., and Pentland, A.: Social sensing for epidemiological behavior change. Proc. ACM UbiComp 2010, 291-300 (2010).
34. McCarty, C. and Green, H.D.: Personality and personal networks. Sunbelt XXV (2005).
35. Mehra, A., Kilduff, M., and Brass, D.J.: The Social Networks of High and Low Self-Monitors: Implications for Workplace Performance. Administrative Science Quarterly, 46(1) 121-146 (2001).
36. Olguin, D., Gloor, P.A., and Pentland, A.: Capturing Individual and Group Behavior with Wearable Sensors. AAAI Spring Symposium on Human Behavior Modeling (2009).
37. Oliveira, R., Karatzoglou, A., Concejero, P., Armenta, A., and Oliver, N.: Towards a psychographic user model from mobile phone usage. ACM CHI, WIP, 2191-2196, (2011).
38. Quercia, D., Kosinski, M., Stillwell, D., and Crowcroft, J.: Our Twitter Profiles, Our Selves: Predicting Personality with Twitter. SocialCom/PASSAT (2011).
39. Quercia, D., Lambiotte, R., Stillwell, D., Kosinski, M., and Crowcroft, J.: The personality of popular facebook users. CSCW (2012).
40. Raento, M., Oulasvirta, A., and Eagle, N.: Smartphones: An emerging tool for social scientists. Sociological Methods and Research, 37(2), 426-454 (2009).
41. Roberts, S.G.B., Wilson, R., Fedurek, P., and Dunbar, R.I.M.: Individual differences and personal social network size and structure. Personality and Individual Differences, 44(4), 954-964 (2008).
42. Halko, S. and Kientz, J.A.: Personality and Persuasive Technology: An Exploratory Study on Health-Promoting Mobile Applications. Persuasive, 150-161 (2008).
43. Swickert, R.J., Hittner, J.B., Harris, J.L., and Herring, J.A.: Relationships among Internet use, personality, and social support. Computers in Human Behavior, 18(4), 437-451 (2002).
44. Wasserman, S. and Faust, K.: Social Network Analysis: Methods and Applications. Cambridge Press (1994).
45. Watts, D.J. and Strogatz, S.: Collective dynamics of 'small-world' networks. Nature 393(6684), 440-442 (1998).
46. Wehrli, S.: Personality on Social Network Sites: An Application of the Five Factor Model. ETH Zurich Sociology Working Papers 7 (2008).