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Using self organizing map to infer communities in weblogs' social network

Jamali, M ; Sharif University of Technology | 2020

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  1. Type of Document: Article
  2. Publisher: IADIS Press , 2020
  3. Abstract:
  4. Nowadays users of the Web are encouraged to generate content on the Web by themselves. Weblogs are the most popular tools to do this. In fact Weblogs are one kind of social networks and they are one of the most important components in Web 2.0. Blogs are often situated within a Blog community of similar interest. These communities can be a useful way for readers to access space slice of millions of Weblogs. In this paper we introduce a new algorithm to infer communities based on their link structure. This algorithm uses self organizing maps to identify communities among Weblogs. The link pattern of each Weblog is the input for SOM. © 2007 IADIS
  5. Keywords:
  6. Community ; Link structure ; Neural network ; SOM ; Weblog
  7. Source: 2007 IADIS European Conference on Data Mining, DM 2007, part of the 1st IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2007, 3 July 2007 through 8 July 2007 ; 2020 , Pages 58-64
  8. URL: http://www.iadisportal.org/digital-library/using-self-organizing-map-to-infer-communities-in-weblogs%C2%92-social-network