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Human dynamics in real-world social networks has been a long lasting topic of research. Recently, the rapid growing of online social networks with their data made accessible has given researchers a door of opportunity to study large-scale social networks. Facebook has been the largest, most influential, and fastest growing social network on the Internet to date. As Facebook's userbase is extremely diverse, spreading across different countries, races, ages, professions, and interests, to name a few, this network is a good model to study their society. In this paper, the authors present an analysis of a regional Facebook dataset, with attention given to the correlation among user connectivity, activity, and similarity.
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