Towards a Characterization of Egocentric Networks in Online Social Networks

Online Social Networks (OSNs) are more and more establishing as one of the key means to create and enforce social relationships between individuals. While substantial results have been obtained in the anthropology literature describing the properties of human social networks (built "outside" the OSN world), a clear understanding of the properties of social networks built using OSNs is still to be achieved. In this paper we provide a contribution towards this goal, by starting characterizing ego networks formed inside Facebook through the analysis of data obtained from a measurement campaign. Ego networks capture all the social relationships (links) between an ego and all the other people with whom the ego has a social tie. Ego networks are one of the key social structure that have been studied in the anthropology literature, and is thus a reference objective for our work. In this paper we analyze a number of quantitative variables that can be collected on Facebook, which can be used to describe the properties of the social links in ego networks. We also analyze the correlation between these variables and the strength of the social ties, as explicitly ranked by the monitored Facebook users. Our results show that there is an interesting similarity between the properties observed by anthropologists in human social networks, and those of Facebook social networks. Moreover, we found a noticeable correlation between most of the measured variables and the tie strengths, suggesting the possibility of automatically inferring the latter from measurable Facebook variables.

[1]  Andrew McCallum,et al.  Extracting social networks and contact information from email and the Web , 2004, CEAS.

[2]  Jure Leskovec,et al.  Worldwide Buzz: Planetary-Scale Views on an Instant-Messaging Network , 2007, WWW 2008.

[3]  Cliff Lampe,et al.  The Benefits of Facebook "Friends: " Social Capital and College Students' Use of Online Social Network Sites , 2007, J. Comput. Mediat. Commun..

[4]  Robin I. M. Dunbar,et al.  The social brain hypothesis and its implications for social evolution , 2009, Annals of human biology.

[5]  B. Wellman,et al.  Different Strokes from Different Folks: Community Ties and Social Support , 1990, American Journal of Sociology.

[6]  Robin I. M. Dunbar,et al.  Communication in social networks: Effects of kinship, network size, and emotional closeness , 2011 .

[7]  Jure Leskovec,et al.  Planetary-scale views on a large instant-messaging network , 2008, WWW.

[8]  Eric Gilbert,et al.  Predicting tie strength with social media , 2009, CHI.

[9]  Robin I. M. Dunbar,et al.  Social networks, support cliques, and kinship , 1995, Human nature.

[10]  D. Watts,et al.  An Experimental Study of Search in Global Social Networks , 2003, Science.

[11]  Mark S. Granovetter The Strength of Weak Ties , 1973, American Journal of Sociology.

[12]  A-L Barabási,et al.  Structure and tie strengths in mobile communication networks , 2006, Proceedings of the National Academy of Sciences.

[13]  R. Centor,et al.  Different Strokes for Different Folks , 2012 .

[14]  Thomas V. Pollet,et al.  Exploring variation in active network size: Constraints and ego characteristics , 2009, Soc. Networks.

[15]  Robin I. M. Dunbar,et al.  Social network size in humans , 2003, Human nature.

[16]  Didier Sornette,et al.  Discrete hierarchical organization of social group sizes , 2004, Proceedings of the Royal Society B: Biological Sciences.

[17]  Sriram Subramanian,et al.  Tilt techniques: investigating the dexterity of wrist-based input , 2009, CHI.

[18]  R. Burt Structural Holes versus Network Closure as Social Capital , 2001 .