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

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

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

1,414

Published on

Published in: Business, Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
1,414
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
34
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

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

    ×