Titlebook: Social Network Analysis - Community Detection and Evolution; Rokia Missaoui,Idrissa Sarr Book 2014 Springer International Publishing Switz

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Entanglement in Multiplex Networks: Understanding Group Cohesion in Homophily Networks,gory of relations linking entities whenever they exhibit similar behaviors. Examples of homophily networks examined in this paper are: co-authorship, where homophily between two persons follows from having co-published a paper on a given topic; movie actors having played under the supervision of the

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An Elite Grouping of Individuals for Expressing a Core Identity Based on the Temporal Dynamicity ord on dynamic or semantic dimension, more meaningful and informative results can be harvested. A social network can be dominated by a core region depending on centralized or decentralized information sharing, social interactions lifetime and even orientations developed by network actors. This is an u

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The Power of Consensus: Random Graphs Still Have No Communities,ve been shown to effectively compute the community structure. However, some problems remain: in particular, it is possible to find high modularity partitions in graph without any community structure, in particular random graphs. In this paper, we study the notion of consensual communities, or commun

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Link Prediction in Heterogeneous Collaboration Networks,s. In this article, we study both supervised and unsupervised link prediction in networks where instances can simultaneously belong to multiple communities, engendering different types of collaborations. Links in these networks arise from heterogeneous causes, limiting the performance of predictors

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Latent Tunnel Based Information Propagation in Microblog Networks,iffers from the traditional influence maximization in two major ways: it has a content-rich target message for propagation and it treats each link in the network as communication on certain topics and emphasizes the topic relevance of such communication in propagating the target message. In realisti

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Book 2014, as well as network modeling and visualization are also presented. Many studies are validated through real social networks such as Twitter. This edited work will appeal to researchers, practitioners and students interested in the latest developments of social network analysis.

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