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Information Behavior and Social Networks

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Tin180 VietNam
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This document discusses social network sites and how they can be used to find information. It provides examples of different types of social networks like LinkedIn, CyWorld, Digg and Last.fm. It also summarizes a case study of MySpace that analyzed data from user profiles to find patterns around factors like age, gender, language use. The conclusion considers whether librarians should recommend social networks to help users find information or support.

NegóciosTecnologia
1 de 35
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 ,[object Object],[object Object],[object Object],[object Object],[object Object]
1. Introduction
Context ,[object Object],[object Object],[object Object],[object Object]
SNS definition ,[object Object],[object Object],[object Object],[object Object],boyd, d. m., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication , 13 (1), article 11.
Friends ,[object Object],[object Object]
Why have sns friends? (1/2) ,[object Object],[object Object],[object Object],[object Object],[object Object],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) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Friends ,[object Object]
History ,[object Object],boyd, d. m., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication , 13 (1), article 11.
Today ,[object Object]
Facebook dominant? ,[object Object]
2. Examples of social network sites
Three types of social networking site ,[object Object],[object Object],[object Object]
Types of SNS
Examples of SNS ,[object Object],[object Object],[object Object],[object Object],[object Object]
LinkedIn ,[object Object],[object Object]
 
 
Cyworld ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Digg ,[object Object],[object Object],[object Object]
 
[object Object],[object Object]
Last.FM ,[object Object],[object Object],[object Object],[object Object]
 
3. Cybermetric case study of MySpace Illustration of a range of types of “extractable” public information about MySpace members
MySpace members data sets ,[object Object],[object Object],[object Object],[object Object]
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 ,[object Object],[object Object],[object Object],women make the best friends! (403 data set)
who swears most? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],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 ,[object Object],[object Object],[object Object],[object Object]

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Information Behavior and Social Networks

  • 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
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  • 13. 2. Examples of social network sites
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  • 26. 3. Cybermetric case study of MySpace Illustration of a range of types of “extractable” public information about MySpace members
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  • 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
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  • 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
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Notas do Editor

  1. 403 data set