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Social network analysis of Twitter hashtag usage during protest meetings in Russia
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Social network analysis of Twitter hashtag usage during protest meetings in Russia

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My slides from ASNA2012 with some findings from dataset I've gathered from Twitter during protest meetings in Moscow on 24th of December 2011

My slides from ASNA2012 with some findings from dataset I've gathered from Twitter during protest meetings in Moscow on 24th of December 2011

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Social network analysis of Twitter hashtag usage during protest meetings in Russia Social network analysis of Twitter hashtag usage during protest meetings in Russia Presentation Transcript

  • Social Network Analysis of Russian Protest in Twitter Alexander Semenov Zurich, 4-7 September 2012
  • Data acquisition in Twitter: Free vs. $•Twitter Search API •LOTS of tweets•150 – 350 requests per hour •Sophisticated filters•Not representative •Representative•Not augmented •Augmented (Klout•Free score, etc.) •$$$
  • Twitter 101: what you see… Avatar Twitter name Person’s name Hashtag Twitter text Hyperlink Date Reply Retweet
  • … is NOT EVERYTHING you get!
  • 24.12.2011 – Official meetings on Prospekt Sakharova & Poklonnaya Gora VSOpposition meeting on Prospekt Pro-government meeting onSakharova Poklonnaya Gora #24дек (24dec)
  • Data Summary twitter.text contains "24дек" Timezone = UTC Networks Retweet Reply_raw ReplyGraph Type Directed Directed DirectedVertices 385 2031 351Unique Edges 267 1387 235Edges With Duplicates 656 392 86Total Edges 923 1779 321Self-Loops 3 2 1Reciprocated Vertex Pair Ratio 0,013774105 0,007073955 0,042801556Reciprocated Edge Ratio 0,027173913 0,014048531 0,082089552Connected Components 93 513 103Single-Vertex Connected Components 2 2 1Maximum Vertices in a Connected Component 114 365 103Maximum Edges in a Connected Component 715 476 144Maximum Geodesic Distance (Diameter) 13 14 17Average Geodesic Distance 4,724113 5,016783 7,076381Graph Density 0,002489177 0,000379827 0,002181522Modularity Not Applicable Not Applicable Not Applicable
  • Reply Network: Top Usersnavalny* 58 xenia_sobchak* 7xenia_sobchak* 23 navalny* 7varlamov* 15 burmatoff* 6burmatoff* 12 VRSoloviev* 5tvrain* 12 “False” replies removed angeina_may 5VRSoloviev* 10 varlamov* 4vdagamov* 7 rybakoff 4aavst 6 WakeUpR 4WakeUpR 6 i_kaya 4rykov* 6 Pro-opposition users Alexgizn 4 abuse “false” replies to celebrities (marked *) to get their attention and promote their ideas.
  • Retweet network: Top Users olly_jolly 19 kurginyanRU* 18 angry_moscovits 17 Burmatoff* 15 anton_aprelin 13 Comrade_Vo 13 Kolobrod1 13 temkinmir 11 Alexgizn 7 flipboardnews1 6Pro-government users People are consistentobuse “retweet” function, in their retweetspreading tweets, written behavior: theyby common people. retweet either pro- government users (green) or opposition (yellow), not both.
  • Network of “replies” with at least one mutual tie Mutual degree >= 1 (max. = 4) Twitter is not a place for discussion?
  • ConclusionsAnalysis of hashtags on Twitter has several caveats:•If there are several different tags for an event, the sample is not representative•Users, who participate the discussion, but cut the hashtags to have more symbols arenot included => some network metrics are useless (reciprocity)Key findings:•Both sides of the conflict abuse Twitter features to dominate in the information field: •Pro-government users mostly do it with “Retweet” function; •People are consistent in their retweet behavior: they retweet either pro- government users (green) or opposition (yellow), not both. •Opposition users tend to use “Reply” function to get attention from the celebrities•Russian Twitter (like Russian Parliament )is not a place for discussion =).
  • Thank you! Alexander Semenovsemenoffalex@gmail.com