The Web Science Trust

Detecting and Understanding Web communities

Vakali, Athena and Kompatsiaris, Yiannis (2009) Detecting and Understanding Web communities. In: Proceedings of the WebSci'09: Society On-Line, 18-20 March 2009, Athens, Greece. (In Press)

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Abstract

Collective user activities on multiple, often heterogeneous and evolving Web sources contributes in the formation of Web communities which are either derived from Web documents/pages, or by users navigational tasks and more recently by tags and social frameworks. Defining, deriving and exploiting communities is not a trivial task since several parameters (large-scale, complexity, evolving information etc) are involved. This paper aims at providing answers for crucial questions raised about communities emerging in the Web and it summarizes different community definitions such that then, the problem of community detection (which is well matured and researched in the past) is understood. The paper emphasizes and discusses the most important methodologies and techniques which deal with large populations of Web documents participating in vast hyperlinked networks, or networks formed from crawling (part of) the web and more recently, networks reflecting the social relations and/or interactions among people. It is important to understand and categorize community identification efforts by taking into account that different levels of granularity and different views are often used for community identification. The emphasis is on the intuition behind all these methodologies and implementations, and on their practical impact for tasks of recommendation, searching, content outsourcing, etc.

Item Type:Conference or Workshop Item (Poster)
Uncontrolled Keywords:web communities web mining web data management clustering on the web
Subjects:Web Science Events > Web Science 2009
ID Code:238
Deposited By: W S T Administrator
Deposited On:11 Mar 2009 00:21
Last Modified:25 Oct 2011 16:44

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