Information Behaviour And Web 2 0 Social Networks (Tin180 Com)
Upcoming SlideShare
Loading in...5

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






Total Views
Views on SlideShare
Embed Views



1 Embed 2 2



Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
Post Comment
Edit your comment
  • 403 data set

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

  • Information Behaviour and Web 2.0 Social Networks Mike Thelwall Statistical Cybermetrics Research Group, University of Wolverhampton , UK Virtual Knowledge Studio (VKS) Information Studies
  • 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
  • 1. Introduction
  • 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
  • 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.
  • Friends
    • Not all friends are friends!
    • Some are not even acquaintances, family members, colleagues
  • 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)
  • 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
  • Friends
    • Friend news (Facebook)
  • 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.
  • Today
    • Facebook dominant??
  • Facebook dominant?
    • Google search volume
  • 2. Examples of social network sites
  • 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)
  • Types of SNS
  • Examples of SNS
    • LinkedIn
    • Gaia Online
    • CyWorld
    • Digg
    • Last.FM
  • LinkedIn
    • SNS designed to help members find new business contacts
    • Especially helps look for friends of friends or aquaintances of acquaintances
  • 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
  • Digg
    • “ a place for people to discover and share content from anywhere on the web” (, May 4, 2008)
    • Can navigate stories by friending people who post stories
    • Digg is not really for friendship.
    • Can friend LewP and navigate his stories (can also do this without friending) and friends
    • LewP is a human “recommender system”?
  • 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
  • 3. Cybermetric case study of MySpace Illustration of a range of types of “extractable” public information about MySpace members
  • 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
  • days since last access -members use MySpace once or frequently all Members >>
  • days since last access -members use MySpace once or frequently July 3 members
  • MySpace “age” profile: average “age” is 21
  • younger members have more MySpace friends
  • 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)
  • 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 >>
  • 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
  • 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?