Titlebook: Complex Networks VI; Proceedings of the 6 Giuseppe Mangioni,Filippo Simini,Dashun Wang Conference proceedings 2015 Springer International P

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A Flexible Fitness Function for Community Detection in Complex Networks,ongs to a single community. Although several studies propose fitness functions for the detection of communities, the definition of what a community is is still vague. Therefore, each proposal of fitness function leads to communities that reflect the particular definition of community adopted by the

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Measuring the Generalized Friendship Paradox in Networks with Quality-Dependent Connectivity,dox refers to the same observation for attributes other than degree, and it has been observed in Twitter and scientific collaboration networks. This paper takes an analytical approach to model this phenomenon. We consider a preferential attachment-like network growth mechanism governed by both node

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Expected Nodes: A Quality Function for the Detection of Link Communities,may or may not overlap. A widely used measure to evaluate the quality of a community structure is the .. However, sometimes it is also relevant to study link partitions rather than node partitions. In order to evaluate a link partition, we propose a new quality function: .. Our function is based on

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Fast Optimization of Hamiltonian for Constrained Community Detection,aking networks simple and easy to understand. As an attempt to incorporate background knowledge of given networks, a method known as constrained community detection has been proposed recently. Constrained community detection shows robust performance on noisy data since it uses background knowledge.