Work, friendship, and media use for information exchange in a networked organization
Journal of the American Society for Information Science
Predicting tie strength with social media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Foundations of Multidimensional Network Analysis
ASONAM '11 Proceedings of the 2011 International Conference on Advances in Social Networks Analysis and Mining
Scalable Link Prediction on Multidimensional Networks
ICDMW '11 Proceedings of the 2011 IEEE 11th International Conference on Data Mining Workshops
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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.