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Visualization of evolutionary cascades of messages using force-directed graphs

Visualization of evolutionary cascades of messages using force-directed graphs. Master’s thesis defense, 9 may 2011. Artjom Kurapov Supervisor: Helena Kruus. Agenda. Background Practical work Pling.ee,opensource Gephi Web-tool demo and twitter. Background. Types of networks

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Visualization of evolutionary cascades of messages using force-directed graphs

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  1. Visualization of evolutionary cascades of messages using force-directed graphs Master’s thesis defense, 9 may 2011 ArtjomKurapovSupervisor: Helena Kruus

  2. Agenda • Background • Practical work • Pling.ee,opensourceGephi • Web-tool demo and twitter

  3. Background Types of networks Properties / areas of application Research interest

  4. Topics crossroads

  5. Goals Visualize social networks (preferably in Estonia) Compare friends and messages topology Try to mine data visually using cascades

  6. Pling

  7. Pling – Qualitative measure

  8. Topic and interface matters Out of 18.6 mln messages - no (clearly visible) cascade Possibly because 89% private 86% sent using phone

  9. Javascript tool Up to 1000 nodes Can add nodes on the fly Navigation and filtering Properties calculation Recursive algorithm

  10. Twitter Friendship and message network mined 218 users / 12643 messages, 6.89% retweets

  11. Thank you

  12. Questions?

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