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Studying Twitter conversations as (dynamic) graphs: visualization and structural comparison

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Studying Twitter conversations as (dynamic) graphs: visualization and structural comparison

  1. 1. Studying Twitter conversations as (dynamic) graphs:visualization and structural comparisonCornelius Puschmann1, Katrin Weller2, Evelyn Dr¨ ge o 21:Department of English Language and Linguistics, University of D¨ sseldorf u2:Department Information Science, University of D¨ sseldorf uThe eight graphs shown describe Twitter activity (specifically retweets) over the course of 30 days surrounding the academic conference Digital Humanities 2010 (7-10 July 2010, King’s College, London). Digital Humanities is the annual international conference for digital scholarship in the humanities, sponsored bythe Alliance of Digital Humanities Organisations (ADHO). The dataset consists of 3,300 tweets (733 retweets) by 331 individual users. Each node represents a user who tweeted under the #dh2010 hashtag. Edges represent retweets. Node size reflects the number of retweets received; node color the number of retweetsgiven. digihums2010 ernestopriego tildensky redgen jmvieira neh_odh ttasovac melissaterras brettbobley txtcraigbellamy nowviskie trevormunoz langstat projectcarare center21 kevinbgunn raffazizzi simontanner seth_denbo mr56k epriani madaiqu nowviskie palaeofuturist clairey_ross publichistorian unsworth jmvieira tildensky brettbobley mr56k melissaterras trevormunoz ernestopriego digihums2010 ucldh melissaterras knagasaki langstat sphericalfruit huronferret mr56k center21 koffer lewisrichard costisd redgen meg_stewart priddy eberlesinatra jmcclurken timonette toughloveforx lewisrichard hallymk1 hamccull neh_odh kathodonnell davidbeavan frostdavis andrewmurphie

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