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In this paper we explore the notion of mobile users' similarity as a key enabler of innovative applications hinging on opportunistic mobile encounters. In particular, we analyze the performance of known similarity metrics, applicable to our problem domain, as well as propose a novel temporal-based metric, in an attempt to quantify the inherently qualitative(More)
—In this paper we establish fundamental limits on the performance of knowledge sharing in opportunistic social networks. In particular, we introduce a novel information-theoretic model to characterize the performance limits of knowledge sharing policies. Towards this objective, we first introduce the notions of knowledge gain and its upper bound, knowledge(More)
Street harassment is a global problem. In this paper, we seek to gain insights into the characteristics of neighborhoods in which street harassment has occurred. We analyze over 7,800 worldwide street harassment incidents, gathered by the Hollaback project [7], to study the association of street harassment with walkability scores and the number of transit(More)
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