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Part of book or chapter of book . 2009 . Peer-reviewed

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Web Social Mining

Name: Web Social Mining
Keywords: Databases and Information Systems, Numerical Analysis and Scientific Computing

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Other literature type , Article 17 Dec 2009 Singapore English Publisher:Informa UK Limited

Authors: LAUW, Hady W.; LIM, Ee Peng;

doi: 10.1081/e-elis3-120043522

Web Social Mining

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Abstract

With increasing user presence in the Web and Web 2.0, Web social mining becomes an important and challenging task that finds a wide range of new applications relevant to e-commerce and social software. In this entry, we describe three Web social mining topics, namely, social network discovery, social network analysis, and social network applications. The essential concepts, models, and techniques of these Web social mining topics will be surveyed so as to establish the basic foundation for developing novel applications and for conducting research

Country

Singapore

Related Organizations

Singapore Management University
Singapore

Keywords

Databases and Information Systems, Numerical Analysis and Scientific Computing

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

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Average

Green