The present work investigates the structural and dynamical properties of aNobii, a social bookmarking system designed for readers and book lovers. Users of aNobii provide information about their library, reading interests and geographical location, and they can establish typed social links to other users. Here, we perform an in-depth analysis of the system's social network and its interplay with users' profiles. We describe the relation of geographic and interest-based factors to social linking. Furthermore, we perform a longitudinal analysis to investigate the interplay of profile similarity and link creation in the social network, with a focus on triangle closure. We report a reciprocal causal connection: profile similarity of users drives the subsequent closure in the social network and, reciprocally, closure in the social network induces subsequent profile alignment. Access to the dynamics of the social network also allows us to measure quantitative indicators of preferential linking.

Link Creation and Profile Alignment in the aNobii Social Network

AIELLO, LUCA MARIA;Ciro Cattuto;RUFFO, Giancarlo Francesco;SCHIFANELLA, ROSSANO
2010

Abstract

The present work investigates the structural and dynamical properties of aNobii, a social bookmarking system designed for readers and book lovers. Users of aNobii provide information about their library, reading interests and geographical location, and they can establish typed social links to other users. Here, we perform an in-depth analysis of the system's social network and its interplay with users' profiles. We describe the relation of geographic and interest-based factors to social linking. Furthermore, we perform a longitudinal analysis to investigate the interplay of profile similarity and link creation in the social network, with a focus on triangle closure. We report a reciprocal causal connection: profile similarity of users drives the subsequent closure in the social network and, reciprocally, closure in the social network induces subsequent profile alignment. Access to the dynamics of the social network also allows us to measure quantitative indicators of preferential linking.
IEEE Second International Conference on Social Computing
Minneapolis, Minnesota, USA
August 20-August 22
Proceedings of the IEEE Second International Conference on Social Computing
IEEE Computer Society
0
249
256
9780769542119
aNobii; homophily; link creation; geographic clustering; profile similarity; social network; social media
Luca Maria Aiello; Alain Barrat; Ciro Cattuto; Giancarlo Ruffo; Rossano Schifanella
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2318/84494
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 50
  • ???jsp.display-item.citation.isi??? ND
social impact