Conversation Practices and Network Structure in Twitter

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Presentation made during the DIATA12 Workshop - March 2012, Düsseldorf

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  • Conversation Practices and Network Structure in Twitter

    1. 1. Conversation Practices andNetwork Structure in Twitter Does hashtag participation generate new followers?Luca Rossi - University of Urbino “Carlo Bo”Matteo Magnani - University of Aarhus
    2. 2. Data acquisition:6 hours (from 19:28:16 pm of Jan, 5th to 01:31:55 am of Jan. 6th 2012) .streaming APIlist of participantsREST APInetwork of followers of a sample of these users(50%) once every 20 minutes.
    3. 3. Tweets 22287 (da 19:28:16 del 5 Gen a 01:31:55 del 6 Gen) > 3700 tph5137 Usersavg.4.34 tweets (st.dev. 7.58)RT= 5382 (24,25%)@= 1214 (5,45%)Link= 1347 (6,04%)
    4. 4. Tweets 22287 (da 19:28:16 del 5 Gen a 01:31:55 del 6 Gen) > 3700 tph5137 Usersavg.4.34 tweets (st.dev. 7.58)RT= 5382 (24,25%)@= 1214 (5,45%)Link= 1347 (6,04%)
    5. 5. Tweets 22287 (da 19:28:16 del 5 Gen a 01:31:55 del 6 Gen) > 3700 tph5137 Usersavg.4.34 tweets (st.dev. 7.58)RT= 5382 (24,25%)@= 1214 (5,45%)Link= 1347 (6,04%) xf5
    6. 6. #xf5- @net
    7. 7. Relevant users within the @net are officialaccount related to the TV show
    8. 8. @net shows no real interactions but messaged addressed to specific users.@alecattelan now that #xf5 is over, you cansay it... Chimera your favourite?@Simo_Ventura #XF5 #XFactor5 Pleasechange Francesca’s dress now! That’s not thedebutante ball!@Simo_Ventura #XF5 #XFactor5 NowFrancesca has the perfect look!Cheers @Simo_Ventura she’s winning@XFactor_Italia for her first timeGood luck to @alecattelan! We know youare the best!
    9. 9. #xf5 - RTnet
    10. 10. Relevant users within the RTnet (except for the official account) are not official users related to the TV show but “normal” Twitter usersRT netmain conponent(filter deg >3)
    11. 11. #xf5RT @XFactor_Italia: FINALISSIMA di #XF5! Siparte ora con Xtra Factor, e dalle 21.10 il granfinale!RT @titofaraci: Sul sito di repubblica (prima che locorreggano). #XF5 @AilenGamberoni http://t.co/j0SFL87P 83832047
    12. 12. corr. 0,61 corr. 0,88corr. 0,75 Correlation between degree centrality on the RTnet and on @net and the acquisition of new followers during the airing time.
    13. 13. Twitter specific or network specific?
    14. 14. Distribution on new followers acquisition. Real data compared with model data.n. of new followers XF5 observed data Preferential attachment model Barabasi scale-free model n. of users
    15. 15. what’s next?- network stability- empirical baseline- crisis events analysis
    16. 16. thank youhttp://larica.uniurb.it/sigsnaluca.rossi@uniurb.itTwitter.com/LR

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