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The Structure of Complex NetworksTheory and Applications$
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Ernesto Estrada

Print publication date: 2011

Print ISBN-13: 9780199591756

Published to Oxford Scholarship Online: December 2013

DOI: 10.1093/acprof:oso/9780199591756.001.0001

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Community structure of networks

Community structure of networks

Chapter:
(p.187) 10 Community structure of networks
Source:
The Structure of Complex Networks
Author(s):

Ernesto Estrada

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199591756.003.0010

This chapter discusses the methods currently used for detecting network communities. It starts with an intuitive introduction of the concept of network community. The chapter then considers methods based on partitioning the nodes and links of a network to find communities, such as local improvement methods; spectral partitioning methods based on different topological matrices; and methods based on link centrality with emphasis on the Girvan-Newman algorithm based on link betweenness. It introduces the problem and the different measures of the quality of partitions. The chapter analyses the modularity measure for network partitions; similarity-based methods; and methods based on communicability for detecting communities in complex networks. In all cases, examples from simple or real-world networks are used to illustrate the methods.

Keywords:   network communities, network partition, local improvement methods, spectral clustering, link centrality methods, clustering quality, resolution limit, similarity-based clustering, communicability-based clustering

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