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What is Community Detection

Encyclopedia of Business Analytics and Optimization
Group of nodes from network that can be easily grouped into (potentially overlapping) sets of nodes densely connected internally.
Published in Chapter:
Weights and Multi-Edges in Link Prediction
Victor F. Cavalcante (IBM Research, Brazil) and Ana Paula Appel (IBM Research, Brazil)
Copyright: © 2014 |Pages: 10
DOI: 10.4018/978-1-4666-5202-6.ch242
Full Text Chapter Download: US $37.50 Add to Cart
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The Effectiveness of Big Data in Social Networks
Discovering groups in a network where surveillance is implicitly to each individual membership.
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A Survey of Parallel Community Detection Algorithms
Communities are densely connected groups of vertices which share common properties within a graph. Four types of criteria define a community: complete mutuality, reachability, vertex degree and comparison of external and internal cohesion.
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Social Network Analysis: Basic Concepts, Tools, and Applications
Is of methods that permit to identify a group of users that share the same interest and make them into the same group other than the users who do not share the same interest.
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