Graph Mining Applications to Social Network Analysis

  • Tang L
  • Liu H
N/ACitations
Citations of this article
85Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The prosperity of Web 2.0 and social media brings about many diverse social networks of unprecedented scales, which present new challenges formore effective graph-mining techniques. In this chapter, we present some graph patterns that are commonly observed in large-scale social networks. As most networks demonstrate strong community structures, one basic task in social network analysis is community detection which uncovers the group membership of actors in a network. We categorize and survey representative graph mining approaches and evaluation strategies for community detection. We then present and discuss some research issues for future exploration.

Cite

CITATION STYLE

APA

Tang, L., & Liu, H. (2010). Graph Mining Applications to Social Network Analysis (pp. 487–513). https://doi.org/10.1007/978-1-4419-6045-0_16

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free