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2017 | OriginalPaper | Chapter

1. Introduction

Authors : Maoguo Gong, Qing Cai, Lijia Ma, Shanfeng Wang, Yu Lei

Published in: Computational Intelligence for Network Structure Analytics

Publisher: Springer Singapore

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Abstract

Complex network structure analytics contribute greatly to the understanding of complex systems, such as Internet, social network, and biological network. Many issues in network structure analytics, for example, community detection, structure balance, and influence maximization, can be formulated as optimization problems. These problems usually are NP-hard and nonconvex, and generally cannot be well solved by canonical optimization techniques. Computational intelligence-based algorithms have been proved to be effective and efficient for network structure analytics. This chapter gives a holistic overview of complex networks and the emerging topics concerning network structure analytics as well as some basic optimization models for network issues.

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next chapter Network Community Discovery with Evolutionary Single-Objective Optimization
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Metadata
Title
Introduction
Authors
Maoguo Gong
Qing Cai
Lijia Ma
Shanfeng Wang
Yu Lei
Copyright Year
2017
Publisher
Springer Singapore
Book
Computational Intelligence for Network Structure Analytics

Print ISBN: 978-981-10-4557-8

Electronic ISBN: 978-981-10-4558-5

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-4558-5_1

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