• DocumentCode
    3589614
  • Title

    Twitter and e-health: A case study of visualizing cancer networks on Twitter

  • Author

    Murthy, Dhiraj ; Gross, Alexander ; Longwell, Scott

  • Author_Institution
    Dept. of Sociology, Bowdoin Coll., Brunswick, ME, USA
  • fYear
    2011
  • Firstpage
    110
  • Lastpage
    113
  • Abstract
    This paper seeks to understand health-related social networks on social media websites. The paper explores fundamental questions about social networks formed in the prominent social media website Twitter and demonstrates innovative new methods to conduct applied research in the health sciences using social media networks. The paper aims to address fundamental questions about health-related social networks in emergent social media regarding information flow and network structure. The paper uses a dataset built from Twitter data using a well-known American oncologist as a `seed´ and crawled the Twitter network three degrees out to form a total network of over 30 million nodes.
  • Keywords
    cancer; data visualisation; medical computing; social networking (online); American oncologist; Twitter data; cancer networks visualization; e-health; health related social network; information flow; social media Web sites; Artificial neural networks; Blogs; Cancer; Computers; Peer to peer computing; Visualization; Twitter; cancer; e-health; social media; visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Society (i-Society), 2011 International Conference on
  • Print_ISBN
    978-1-61284-148-9
  • Type

    conf

  • Filename
    5978519