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Cohesive Subgraph Search Over Large Heterogeneous Information NetworksComparison Analysis

Cohesive Subgraph Search Over Large Heterogeneous Information Networks: Comparison Analysis [In the previous two chapters, we have extensively introduced the CSMs and solutions for the bipartite networks and other general HINs, such as core-, truss-, clique-, connectivity-, and density-based models and solutions. These works focus on different types of specific HINs and formulate CSMs in different manners, so a natural question is which CSMs perform better on which graphs? To answer this question, it is desirable to have a comprehensive comparison of these works. In this chapter, we perform an in-depth comparison analysis of all the CSMs and solutions for bipartite networks and other general HINs respectively. We carefully analyze the advantages and disadvantages of these CSMs and solutions, in terms of their computational complexities and application scenarios.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Cohesive Subgraph Search Over Large Heterogeneous Information NetworksComparison Analysis

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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
47 –55
DOI
10.1007/978-3-030-97568-5_5
Publisher site
See Chapter on Publisher Site

Abstract

[In the previous two chapters, we have extensively introduced the CSMs and solutions for the bipartite networks and other general HINs, such as core-, truss-, clique-, connectivity-, and density-based models and solutions. These works focus on different types of specific HINs and formulate CSMs in different manners, so a natural question is which CSMs perform better on which graphs? To answer this question, it is desirable to have a comprehensive comparison of these works. In this chapter, we perform an in-depth comparison analysis of all the CSMs and solutions for bipartite networks and other general HINs respectively. We carefully analyze the advantages and disadvantages of these CSMs and solutions, in terms of their computational complexities and application scenarios.]

Published: Feb 23, 2022

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