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Cohesive Subgraph Search Over Large Heterogeneous Information NetworksIntroduction

Cohesive Subgraph Search Over Large Heterogeneous Information Networks: Introduction [Recently, with the prevalence of large heterogeneous information networks (HINs) in various real areas, much research effort has been devoted to studying CSS over large HINs, which has found a large number of real applications. In this chapter, we focus on providing the necessary background of CSS over large HINs, and give an introduction to the research field to highlight the popularity and applications in the topic of CSS. More specifically, we first show a list of example HINs and typical applications of CSS over large HINs, then discuss the two key challenges of conducting CSS over large HINs, and finally make a classification of existing works according to the classic cohesiveness metrics.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Cohesive Subgraph Search Over Large Heterogeneous Information NetworksIntroduction

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Publisher
Springer International Publishing
Copyright
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
ISBN
978-3-030-97567-8
Pages
1 –5
DOI
10.1007/978-3-030-97568-5_1
Publisher site
See Chapter on Publisher Site

Abstract

[Recently, with the prevalence of large heterogeneous information networks (HINs) in various real areas, much research effort has been devoted to studying CSS over large HINs, which has found a large number of real applications. In this chapter, we focus on providing the necessary background of CSS over large HINs, and give an introduction to the research field to highlight the popularity and applications in the topic of CSS. More specifically, we first show a list of example HINs and typical applications of CSS over large HINs, then discuss the two key challenges of conducting CSS over large HINs, and finally make a classification of existing works according to the classic cohesiveness metrics.]

Published: Feb 23, 2022

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