Extract and rank web communities

  • Authors:

  • Asif Salekin;Jeniya Tabassum;Binte Jafar;Masud Hasan

  • Affiliations:

  • Bangladesh University of Engineering and Technology, Bangladesh;Bangladesh University of Engineering and Technology, Bangladesh;Bangladesh University of Engineering and Technology, Bangladesh;Bangladesh University of Engineering and Technology, Bangladesh

  • Venue:
  • Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
  • Year:
  • 2013

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Abstract

A web community is a pattern in the WWW which is understood as a set of related web pages. In this paper, we propose an efficient algorithm to find the web communities on a given specific topic. Instead of working on the whole web graph, we work on a web domain, which we extract based on the topic specific search results. Therefore, the resulted communities are highly related with the search topic. The ranking of a community denotes the degree of relevance between the search query and the extracted communities. We introduce an approach for ranking the extracted communities based on their dense bipartite pattern. Ranking significantly improves the relevance of the extracted communities with the search topic.