2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (2012)
Aug. 26, 2012 to Aug. 29, 2012
L. Pappalardo , KDD Lab., Univ. of Pisa, Pisa, Italy
G. Rossetti , KDD Lab., Univ. of Pisa, Pisa, Italy
D. Pedreschi , KDD Lab., Univ. of Pisa, Pisa, Italy
The advent of social media have allowed us to build massive networks of weak ties: acquaintances and nonintimate ties we use all the time to spread information and thoughts. Conversely, strong ties are the people we really trust, people whose social circles tightly overlap with our own and, often, they are also the people most like us. Unfortunately, the majority of social media do not incorporate explicitly tie strength information in the creation and management of relationships, and treat all users the same: friend or stranger, with little or nothing in between. In the current work, we address the challenging issue of detecting on online social networks the strong and intimate ties from the huge mass of such mere social contacts. In order to do so, we propose a novel multidimensional definition of tie strength which exploits the existence of multiple online social links between two individuals. We test our definition on a multidimensional network constructed over users in Foursquare, Twitter and Facebook, analyzing the structural role of strong and weak links, and the correlations with the most common similarity measures.
Facebook, Twitter, Media, Communities, Bridges, Organizations, Tie Strength, Multidimensional Social Networks, Link Mining
G. Rossetti, D. Pedreschi and L. Pappalardo, ""How Well Do We Know Each Other?" Detecting Tie Strength in Multidimensional Social Networks," 2012 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining(ASONAM), Istanbul, 2012, pp. 1040-1045.