Part 1 of the "Making Sense of Twitter: Quantitative Analysis Using Twapperkeeper and Other Tools" workshop, presented at the Communities & Technologies 2011 conference, Brisbane, 29 June 2011.

1. Mapping Online Publics Axel Bruns / Jean BurgessARC Centre of Excellence for Creative Industries and Innovation, Queensland University of Technology a.bruns@qut.edu.au – @snurb_dot_info / je.burgess@qut.edu.au – @jeanburgesshttp://mappingonlinepublics.net – http://cci.edu.au/

3. Flickr

4. Twitter

6. content creation statistics

7. patterns in terms and themes

8. baseline social networking map

12. communication across clusters

13. thematic discourse analysis

15. content scraper

16. content analysis

18. Twapperkeeper Data Structure

19. Analysis – Twapperkeeper

20. Methodology – Twitter

21. Key Tools Data capture: Twapperkeeper / yourTwapperkeeper Follow and capture all tweets including set keywords Export in standardised CSV / TSV format Data processing: Gawk Process CSV / TSV files – filter, extract, summarise Excel Statistical analysis and graphing Data visualisation: Gephi Static and dynamic network visualisation

22. #hashtag- / Keyword-Based Datasets Hashtags: Crises and other unforeseen acute events – #qldfloods, #spill Foreseeable short-term events – #royalwedding, #comtech2011 Longer-term and periodic events – #ausvotes, #qanda Hashtag communities – #auspol, #phdchat Ironic and emotive hashtags – #winning, #fail Hashtag memes – #ThanksGetUp, #tweetlikecharliesheen Keywords: Brands, celebrities, places – Qantas, Obama, Brisbane Abbreviations and other unique identifiers – NATO, NBA, NCC1701 Markers for current themes – tsunami (vs. #tsunami) Twitter user names – captures tweets mentioning them What’s missing: Pre-filtering of matching tweets (e.g. by location of participating users) Capture of follow-on communication (if not using those terms) ‘Button’ retweets – not currently captured by yourTwapperkeeper

23. #ausvotes: Overall Activity (17 July – 24 Aug. 2010)

24. #ausvotes: Mentions of the Leaders

25. #ausvotes: Mentions of the Leaders (cumulative)

26. Keyword Co-Occurrence

27. #ausvotes: Key Themes

28. #ausvotes: Discussion Network17 July to 25 Aug. 2010 / All @replies / Node size: Indegree / Node colour: betweenness centrality

29. Dynamic @reply Network Visualisations Dynamic visualisation: Showing @replies / retweets as they are made Connections fading again after a set timeframe, unless renewed Network structure either fixed or dynamically adjusted Rudd/Gillard leadership challenge, 23 June 2010: #spill discussion – from first rumours to confirmed challenge Visualised for 18:00 to midnight see dynamic animation on Mapping Online Publics

30. Twitter and the 22 Feb. Christchurch Earthquake: #eqnz 22/2 23 24 25 26 27 28 1/3 2 3 4 5 6 7

31. Twitter and the Christchurch Earthquake: #eqnz @replies mainstream media authorities utilities

32. Twitter and the Christchurch Earthquake: tweet types

33. Twitter and the Christchurch Earthquake: tweet types

34. Twitter and the Christchurch Earthquake: #eqnz @replies Changing @reply patterns with the move from rescue to recovery:

35. Twitter and the Christchurch Earthquake: #eqnz Themes

36. Twitter and the Christchurch Earthquake: #eqnz Themes

37. Twitter and the Christchurch Earthquake Towards better strategies for social media in disasters: February 2011 earthquake building on lessons learnt in 2010 #eqnz and key Twitter accounts already established Several key accounts sharing the load and dividing responsibilities More experienced use of Twitter by residents and authorities Clear shift in attention after the immediate rescue phase: Marked differences in list of most @replied/retweeted accounts Some tracking of current problems / issues / fears may be possible Decline in overall tweet volume / diversification of #hashtags?

38. And now for something... – #royalwedding

39. ...completely different – ‘Qantas’: @replies + #hashtags

40. Understanding Australian Twitter Use What is the Australian Twitteruserbase? Large-scale snowballing project Starting from selected hashtag communities (e.g. #ausvotes, #qldfloods, #masterchef) Identifying participating users, testing for ‘Australianness’: Timezone setting, location information, profile information Retrieving follower/followee information for each account (very slow) Progress update: ~550,000 Australian users identified so far

42. Football (rugby) Sports Football (soccer) Twitter Celebrities South Australia Wine Business, PR, Marketing Media, Journalism, Politics Follower/followee network:~40,000 Australian Twitter users(of ~440,000 known accounts so far) in-degree 20+, dark lines = mutual,colour = indegree, size = outdegree Music

43. http://mappingonlinepublics.net/ Image by campoalto @snurb_dot_info @jeanburgess