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Determining Affinity of Users in Social Networks Using Fuzzy Sets

  • Ronald R. Yager
  • Marek Z. Reformat
Part of the Communications in Computer and Information Science book series (CCIS, volume 298)

Abstract

More and more often the web is perceived as a new social platform. The users exchange information and opinion about different items posted on the web. It is easily observed in one of the forms of web 2.0 called tagging. Tagging is a process of annotating (labeling) digital items – called resources – by users. A single user can describe a number of items using a number of different tags.

Users’ signatures – created based on such activities – can be used to determine similarity between users, and give users a way to find new friends with similar interests and options. This concept is investigated here.

The paper describes a process of creating fuzzy-based users’ signatures and comparing them for the purpose of finding similar users.

Keywords

Fuzzy Relation Jaccard Index Single Resource Similarity Regime Digital Item 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Ronald R. Yager
    • 1
  • Marek Z. Reformat
    • 2
  1. 1.Iona CollegeUSA
  2. 2.University of AlbertaEdmontonCanada

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