Psychological aspects of social communities

A. Friggeri, E. Fleury, R. Lambiotte, M. Kosinski

Résultats de recherche: Contribution dans un livre/un catalogue/un rapport/dans les actes d'une conférenceChapitre


Social Network Analysis has often focused on the structure of the network without taking into account the characteristics of the individual involved. In this work, we aim at identifying how individual differences in psychological traits affect the community structure of social networks. Instead of choosing to study only either structural or psychological properties of an individul, our aim is to exhibit in which way the psychological attributes of interacting individuals impacts the social network topology. Using psychological data from the my Personality application and social data from Facebook, we confront the personality traits of the subjects to metrics obtained after applying the C3 community detection algorithm to the social neighborhood of the subjects. We observe that introverts tend to have less communities and hide into large communities, whereas extroverts tend to act as bridges between more communities, which are on average smaller and of varying cohesion.
langue originaleAnglais
titreProceedings - 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust and 2012 ASE/IEEE International Conference on Social Computing, SocialCom/PASSAT 2012
Nombre de pages8
Les DOIs
Etat de la publicationPublié - 1 janv. 2012

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