State of the Art Applications of Social Network Analysis

Cingiz M. Ö., Cingiz M. Ö.

in: Content Mining of Microblogs, Can F., Özyer T., Polat F., Editor, Springer International Publishing, Switzerland, pp.359-369, 2014

  • Publication Type: Book Chapter / Chapter Research Book
  • Publication Date: 2014
  • Publisher: Springer International Publishing
  • City: Switzerland
  • Page Numbers: pp.359-369
  • Editors: Can F., Özyer T., Polat F., Editor
  • Yıldız Technical University Affiliated: No


Emergence of Web 2.0, internet users can share their contents with other users using social networks. In this chapter microbloggers’ contents are evaluated with respect to how they reflect their categories. Migrobloggers’ category information, which is one of the four categories that are economy sport, entertainment or technology, is taken from application. 3337 RSS news feeds, whose category labels are same with microbloggers’ contributions, are used as training data for classification. Unlike the similar studies if a feature of microblog doesn’t appear in RSS news feeds as a feature, this feature is omitted so abbreviations and nonsense words in microblogs can be eliminated. In this study two types of users’ contributions are taken as test data. These users are normal microbloggers and bots. Classification results show that bots provide more categorical content than normal users.