University of SaskatchewanHARVEST
  • Login
  • Submit Your Research
  • About
    • About HARVEST
    • Guidelines
    • Browse
      • All of HARVEST
      • Communities & Collections
      • By Issue Date
      • Authors
      • Titles
      • Subjects
      • This Collection
      • By Issue Date
      • Authors
      • Titles
      • Subjects
    • My Account
      • Login
      JavaScript is disabled for your browser. Some features of this site may not work without it.
      View Item 
      • HARVEST
      • College of Arts & Science
      • Computer Science
      • View Item
      • HARVEST
      • College of Arts & Science
      • Computer Science
      • View Item

      Modelling User Collaboration in Social Networks Using Edits and Comments

      Thumbnail
      View/Open
      Modelling User Collaboration in Social Networks Using.pdf (189.8Kb)
      Date
      2016-07-13
      Author
      Adaji, Ifeoma
      Vassileva, Julita
      Publisher
      ACM New York, NY, USA
      Type
      Article
      Metadata
      Show full item record
      Abstract
      Research has shown that in Q&A social networks, collaboration between respondents results in quality answers. Since good answers are required to keep any Q&A social network active, it is important to understand the characteristics of these collaborations and the collaborators. In this paper, we investigate how Stack Overflow promotes collaboration by allowing users to edit existing questions and answers in order to improve them. Using over 40,000 answer posts, our study reveals that collaboration in answer posts is not a function of achievement earned in terms of badges, as most edits associated with "best answer" rewards were posted by users who have not earned any answer badge. Our study further shows that posts that earned the "best answer" reward have more comments than those that did not. This study though, work in progress, can aid developers in implementing collaboration strategies in social networks that work.
      Citation
      2
      URI
      http://hdl.handle.net/10388/7753
      DOI
      10.1145/2930238.2930289
      Collections
      • Computer Science
      University of Saskatchewan

      University Library

      © University of Saskatchewan
      Contact Us | Disclaimer | Privacy