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Data dump : A closer look at online social activity

Data dump : A closer look at online social activity. Lada Adamic School of Information, University of Michigan, Ann Arbor. instant messaging. phones. email. blogs. online social networking sites. Can we understand community dynamics?. the political blogosphere, early 2005.

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Data dump : A closer look at online social activity

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  1. Data dump: A closer look at online social activity Lada Adamic School of Information, University of Michigan, Ann Arbor instant messaging phones email blogs online social networking sites

  2. Can we understand community dynamics? the political blogosphere, early 2005 • detecting polarization • analyzing discourse • learning what brings communities together online Adamic & Glance, LinkKDD 2005

  3. 1 Digby’s Blog 2 James Walcott 3 Pandagon 4 blog.johnkerry.com 5 Oliver Willis 6 America Blog 7 Crooked Timber 8 Daily Kos 9 American Prospect 10 Eschaton 11 Wonkette 12 Talk Left 13 Political Wire 14 Talking Points Memo 15 Matthew Yglesias 16 Washington Monthly 17 MyDD 18 Juan Cole 19 Left Coaster 20 Bradford DeLong 21 JawaReport 22 Vodka Pundit 23 Roger L Simon 24 Tim Blair 25 Andrew Sullivan 26 Instapundit 27 Blogs for Bush 28 LittleGreenFootballs 29 Belmont Club 30 Captain’s Quarters 31 Powerline 32 Hugh Hewitt 33 INDC journal 34 Real Clear Politics 35 Winds of Change 36 Allahpundit 37 Michelle Malkin 38 Wizbang 39 Dean’s World 40 Volokh

  4. Liberals and conservatives differ in the topics they discuss Discussion of “forged documents”

  5. Communities and discourse comment thread parody on Jim Henley’s ‘Unqualified Offerings’ Blog

  6. Different kinds of links - different interactions. 325 131 25 48 98 664 143 Kuwait blog community 2006 Ali-Hasan and Adamic ICWSM 2007

  7. roles: automatically inferring expertise in Question/Answer forums a fragment of Sun’s Java Forum Zhang

  8. Networks and viral marketing diffusion with costs product recommendation network: medical study guide Leskovec, Adamic, Huberman, EC ‘06

  9. 67 63 54 1 Power laws and information spread on networks 94 6 2 Adamic, Lukose, Puniyani, Huberman, PRE 2001

  10. Does high connectivity mean more influence when it comes to viral marketing? up to a point… influence is limited to a couple of dozen contacts

  11. 0.06 0.05 0.04 0.03 Probability of Buying 0.02 0.01 0 2 4 6 8 10 Incoming recommendations for books How influential is peer pressure? Will you cave in an buy if keep receiving recommendations?

  12. Use of social ties for recommendationsweakens the tie

  13. not organized organized recommendation success by book category lower success (1-3%) higher success (4-6%)

  14. small tightly knit communities more conducive to information spread niches

  15. conclusions • information diffuses on networks • path is influenced by structure • measured network is influenced by diffusion • different interests/products bring people together • incentives can modify social network structure • positively (new connections) • negatively (weakening existing connections)

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