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Information Behaviour And Web 2 0 Social Networks (Tin180 Com)

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  • 403 data set
  • Transcript

    • 1. Information Behaviour and Web 2.0 Social Networks Mike Thelwall Statistical Cybermetrics Research Group, University of Wolverhampton , UK Virtual Knowledge Studio (VKS) Information Studies
    • 2. Contents
      • Introduction
      • Examples of social network sites
        • and ideas for recommending social network sites to library users / information seekers
      • Cybermetric case study of MySpace
      • Conclusion
    • 3. 1. Introduction
    • 4. Context
      • MySpace, Facebook and similar sites are amongst the most popular web sites
      • According to HitWise, in 2007 MySpace overtook Google in the US
      • Facebook has
      • overtaken MySpace
    • 5. SNS definition
      • A web site allowing individuals to
        • construct a public or semi-public profile within a bounded system
        • articulate a list of other users with whom they share a connection
        • view and traverse their list of connections and those made by others within the system
      boyd, d. m., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication , 13 (1), article 11.
    • 6. Friends
      • Not all friends are friends!
      • Some are not even acquaintances, family members, colleagues
    • 7. Why have sns friends? (1/2)
      • It would be socially inappropriate to say no because you know them
      • Having lots of Friends makes you look popular
      • It’s a way of indicating that you are a fan (of that person, band, product, etc.)
      • Your list of Friends reveals who you are
      • Their Profile is cool so being Friends makes you look cool
      boyd, d. (2006). Friends, Friendsters, and MySpace Top 8: Writing community into being on social network sites. First Monday, 11 (2)
    • 8. Why have sns friends? (2/2)
      • Collecting Friends lets you see more people
      • It’s the only way to see a private Profile
      • Being Friends lets you see someone’s bulletins and their Friends-only blog posts
      • You want them to see your bulletins, private Profile, private blog
      • You can use your Friends list to find someone later
      • It’s easier to say yes than no
    • 9. Friends
      • Friend news (Facebook)
    • 10. History
      • After a slow start, many successful SNSs emerged – then other sites began adding SNS services or innovating for niche markets
      boyd, d. m., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication , 13 (1), article 11.
    • 11. Today
      • Facebook dominant??
    • 12. Facebook dominant?
      • Google search volume
    • 13. 2. Examples of social network sites
    • 14. Three types of social networking site
      • Socialising SNSs - for recreational social communication between members
      • Networking SNSs - for non-social interpersonal communication (e.g. LinkedIn)
      • (Social) navigation SNSs - social network features to help users find information or resources (e.g., YouTube, CiteULike)
    • 15. Types of SNS
    • 16. Examples of SNS
      • LinkedIn
      • Gaia Online
      • CyWorld
      • Digg
      • Last.FM
    • 17. LinkedIn
      • SNS designed to help members find new business contacts
      • Especially helps look for friends of friends or aquaintances of acquaintances
    • 18.  
    • 19.  
    • 20. Cyworld
      • Korean SNS
      • Avatar-based –users live in their own home in their mini-hompy
      • Arguably the world’s first popular SNS
      • Members meet new people online
      • Members seem to self-disclose online and make trusting relationships
      • Micropayments via “acorn” currency
    • 21. Digg
      • “ a place for people to discover and share content from anywhere on the web” (digg.com/about, May 4, 2008)
      • Can navigate stories by friending people who post stories
      • Digg is not really for friendship.
    • 22.  
    • 23.
      • Can friend LewP and navigate his stories (can also do this without friending) and friends
      • LewP is a human “recommender system”?
    • 24. Last.FM
      • Music-based site
      • Helps members listen to music that they like or might like
      • Prompts users to friend people listening to similar music
      • Can find new music liked by others with similar taste
    • 25.  
    • 26. 3. Cybermetric case study of MySpace Illustration of a range of types of “extractable” public information about MySpace members
    • 27. MySpace members data sets
      • random sample of 15,043 members
      • systematic sample of 7,627 members who joined on July 3, 2006
      • excluded: music sites, ex-members, members with 0 or 1 friends
      • all information on home pages was automatically downloaded and harvested by SocSciBot -> Excel
    • 28. days since last access -members use MySpace once or frequently all Members >>
    • 29. days since last access -members use MySpace once or frequently July 3 members
    • 30. MySpace “age” profile: average “age” is 21
    • 31. younger members have more MySpace friends
    • 32. gender factors
      • female users more likely to be “here for” friendship and male users more likely to be “here for” dating (but only a minority)
      • males and females both preferred to have more female friends and top 8 friends
      • females preferred a greater proportion of female Top 8 friends
      women make the best friends! (403 data set)
    • 33. who swears most?
      • for US MySpace home pages:
        • male = more likely to contain strong swearing
      • for UK MySpace home pages
        • male = more likely to contain moderate swearing
        • no difference in strong swearing - possibly more strong swearing in female home pages in the younger age groups
      • apparent reversal in gendered strong swearing in the UK for young people
      July 3, 2006 members, extended collection >>
    • 34. percentage of profiles containing swearing (typical sample size 20-148 for non-web swearing research) 130 3% 38% 18% UK females 16-19 171 8% 33% 33% UK males 16-19 1,287 2% 38% 11% US females 16-19 1,530 2% 47% 10% US males 16-19 sample size very strong strong moderate
    • 35. Conclusions
      • Social network sites vary by country and type
      • Some sites with SNS features can help users find information (e.g., pictures, video, music, news) by navigating people rather than documents/objects
      • “ Friends” may also give specific advice, if asked nicely (as Lay Experts or even LIMs?)!
      • Should librarians routinely suggest SNSs as an additional source of information – even emotional support?