Towards more systematic Twitter analysis: metrics for tweeting activities

References

• Berger , J. and Milkman , K. 2012 . What makes online content viral? . Journal of Marketing Research , 49 : 192 – 205 . doi: 10.1509/jmr.10.0353
   Web of Science ®Google Scholar
• boyd, d., Golder, S., & Lotan, G. (2010, 6 January). Tweet, tweet, retweet: Conversational aspects of retweeting on Twitter. Proceedings of the 43rd Annual Hawaii International Conference on System Science. Retrieved from http://www.danah.org/papers/TweetTweetRetweet.pdf
   Google Scholar
• Bruns , A. 2005 . Gatewatching: Collaborative online news production , New York , NY : Peter Lang .
   Google Scholar
• Bruns, A. (2011, 17 November). How long is a tweet? Mapping dynamic conversation networks on Twitter using Gawk and Gephi. Information, Communication & Society, 15, 1323–1351.
   Google Scholar
• Bruns, A. (2012). Ad Hoc innovation by users of social networks: The case of Twitter. ZSI Discussion Paper 16 (2012). Retrieved from https://www.zsi.at/object/publication/2186
   Google Scholar
• Bruns , A. and Burgess , J. 2011 . #ausvotes: How Twitter covered the 2010 Australian federal election . Communication, Politics & Culture , 44 : 37 – 56 .
   Google Scholar
• Bruns, A., & Burgess, J. (2012, 18 April). Local and global responses to disaster: #eqnz and the Christchurch earthquake. Paper presented at the Australia New Zealand Disaster & Emergency Management Conference, Brisbane. Retrieved from http://snurb.info/files/2012/Local%20and%20Global%20Responses%20to%20Disaster.pdf
   Google Scholar
• Bruns, A., & Liang, E. (2012). Tools and methods for capturing Twitter data during natural disasters. First Monday, 17. Retrieved from http://firstmonday.org/htbin/cgiwrap/bin/ojs/index.php/fm/article/view/3937/3193
   Google Scholar
• Bruns , A. and Stieglitz , S. 2012 . Quantitative approaches to comparing communication patterns on Twitter . Journal of Technology in Human Services , 30 : 160 – 185 .
   Google Scholar
• Bruns, A., Burgess, J., Crawford, K., & Shaw, F. (2012). #qldfloods and @QPSMedia: Crisis communication on Twitter in the 2011 South East Queensland floods. Brisbane: ARC Centre of Excellence for Creative Industries and Innovation. Retrieved from http://cci.edu.au/floodsreport.pdf
   Google Scholar
• Cha, M., Haddadi, H., Benevenuto, F., & Gummadi, K. (2010). Measuring user influence in Twitter: The million follower fallacy. Proceedings of the International AAAI Conference on Weblogs and Social Media (ICWSM), Washington, DC.
   Google Scholar
• Christensen , C. 2011 . Twitter revolutions? Addressing social media and dissent . Communication Review , 14 : 155 – 157 .
   Google Scholar
• Coleman , S. 2003 . A tale of two houses: The House of Commons, the Big Brother house and the people at home . Parliamentary Affairs , 56 : 733 – 758 .
   Web of Science ®Google Scholar
• Deller, Ruth. (2011). Twittering on: Audience research and participation using Twitter. Participations 8. Retrieved from http://www.participations.org/Volume%208/Issue%201/deller.htm.
   Google Scholar
• Dröge, E., Maghferat, P., Puschmann, C., Verbina, J., & Weller, K. (2011). Konferenz-Tweets. Ein Ansatz zur Analyse der Twitter-Kommunikation bei wissenschaftlichen Konferenzen. Proceedings of the 12th International Symposium for Information Science, Verlag Werner Hülsbusch. Retrieved from http://ynada.com/pubs/isi2010.pdf
   Google Scholar
• Gentry, Jeff. (2012). twitteR: R based Twitter client. Retrieved from http://cran.rproject.org/web/packages/twitteR/
   Google Scholar
• Halliday, Josh. (2011, 8 August). London riots: How BlackBerry Messenger played a key role. The Guardian. Retrieved from http://www.guardian.co.uk/media/2011/aug/08/london-riots-facebook-twitter-blackberry
   Google Scholar
• Harlow , S. and Harp , D. 2012 . Collective action on the Web . Information, Communication & Society , 15 : 196 – 216 .
   Web of Science ®Google Scholar
• Harrington , S. , Highfield , T. and Bruns , A. 2012 . “ More than a backchannel: Twitter and television ” . In Audience interactivity and participation , Edited by: Noguera , J. M. Brussels : COST Action Transforming Audiences, Transforming Societies .
   Google Scholar
• Hawksey, M. (2012, 11 January). Twitter archiving Google spreadsheet TAGS v3. JISC CETIS MASHe: The Musing of Martin Hawksey (EdTech Explorer). Retrieved from http://mashe.hawksey.info/2012/01/twitter-archive-tagsv3/
   Google Scholar
• Huffaker , D. 2010 . Dimensions of leadership and social influence in online communities . Human Communication Research , 36 : 593 – 617 .
   Web of Science ®Google Scholar
• Hughes , A. and Palen , L. 2009 . Twitter adoption and use in mass convergence and emergency events . International Journal of Emergency Management , 6 : 248 – 260 .
   Google Scholar
• Jürgens, P., Jungherr, A., & Schoen, H. (2011). Small worlds with a difference: New gatekeepers and the filtering of political information on Twitter. Proceedings of the ACM WebSci’11, June 14–17 2011, Koblenz, Germany, 1–5.
   Google Scholar
• Kleinberg , J. 1999 . Authoritative sources in a hyperlinked environment . Journal ACM , 46 : 604 – 632 .
   Web of Science ®Google Scholar
• Krüger, N., Stieglitz, S., & Potthoff, T. (2012). Brand Communication on Twitter – A Case Study on Adidas. Proceedings of the 16th Pacific Asia Conference on Information Systems, Paper 343.
   Google Scholar
• Larsson, A. O., & Moe, H. (2011). Studying political microblogging: Twitter users in the 2010 Swedish election campaign. New Media & Society. doi: 10.1177/1461444811422894
   Google Scholar
• Lin, Y.-R., Chi, Y., Zhu, S., Sundaram, H., & Tseng B. L. (2008). Facetnet: A framework for analyzing communities and their evolutions in dynamic networks. WWW ’08: Proceeding of the 17th international conference on, World Wide Web, 685–694.
   Google Scholar
• Lindgren , S. and Lundström , R. 2011 . Pirate culture and hacktivist mobilization: The cultural and social protocols of #wikiLeaks on Twitter . New Media & Society , 13 : 999 – 1018 .
   Web of Science ®Google Scholar
• Lotan , G. , Ananny , M. , Gaffney , D. and boyd , D. 2011 . The revolutions were tweeted: Information flows during the 2011 Tunisian and Egyptian revolutions . International Journal of Communication , 5 : 1375 – 1405 .
   Web of Science ®Google Scholar
• Marwick , A. E. and boyd , D. 2011 . I tweet honestly, I tweet passionately: Twitter users, context collapse, and the imagined audience . New Media & Society , 13 : 114 – 133 .
   Web of Science ®Google Scholar
• Melanson, M. (2011, 11 February). Twitter kills the API whitelist: What it means for developers & innovation. ReadWriteWeb. Retrieved from http://www.readwriteweb.com/archives/twitter_kills_the_api_whitelist_what_it_means_for.php
   Google Scholar
• Mendoza , M. , Poblete , B. and Castillo , C. 2010 . Twitter under crisis: Can we trust what we RT? 1st Workshop on Social Media Analytics (SOMA ’10) , Washington , DC : Association for Computing Machinery (ACM) .
   Google Scholar
• Palen , L. , Starbird , K. , Vieweg , S. and Hughes , A. 2010 . Twitter-based information distribution during the 2009 Red River Valley flood threat . Bulletin of the American Society for Information Science and Technology , 36 : 13 – 17 .
   Google Scholar
• Papacharissi , Z. 2011 . “ Conclusion: A networked self ” . In A networked self: Identity, community and culture on social network sites , Edited by: Papacharissi , Z. 304 – 318 . New York , NY : Routledge .
   Google Scholar
• Riemer , K. and Filius , S. 2009 . Contextualizing media choice using genre analysis . Business & Information Systems Engineering , 1 : 164 – 176 .
   Web of Science ®Google Scholar
• Small , T. 2011 . What the hashtag? A content analysis of Canadian politics on Twitter . Information, Communication & Society , 14 : 872 – 895 .
   Web of Science ®Google Scholar
• Starbird, K., & Palen, L. (2010). Pass it on?: Retweeting in mass emergency. Proceedings of the 7th International ISCRAM Conference, Seattle.
   Google Scholar
• Stieglitz, S., & Dang-Xuan, L. (2012a). Impact and diffusion of sentiment in political communication: An empirical analysis of public political Facebook pages. Proceedings of the 20th European Conference on Information Systems (ECIS), Barcelona, Spain.
   Google Scholar
• Stieglitz, S., & Dang-Xuan, L. (2012b). Social Media and Political Communication - A Social Media Analytics Framework. Social Network Analysis and Mining, Springer. doi: 10.1007/s13278-012-0079-3
   Google Scholar
• Stieglitz, S., & Krüger, N. (2011). Analysis of sentiments in corporate twitter communication – A case studyon an issue of Toyota. Proceedings of the 22nd Australasian Conference on Information Systems (ACIS), Paper 103.
   Google Scholar
• Tedjamulia, S. J. J., Dean, D. L., Olsen, D. R., & Albrecht, C. C. (2005). Motivating content contributions to online communities: Toward a more comprehensive theory. Proceedings of the 38th Annual Hawaii International Conference on System Science, Big Island, Hawai’i.
   Google Scholar
• Wasserman , S. and Faust , K. 1994 . Social network analysis: Methods and applications , Cambridge : Cambridge University Press .
   Google Scholar
• Weller, K., Dröge, E., & Puschmann, C. (2011). Citation analysis in Twitter: Approaches for defining and measuring information flows within tweets during scientific conferences. #MSM2011 – 1st Workshop on making sense of microposts. Retrieved from http://files.ynada.com/papers/msm2011.pdf
   Google Scholar
• Wu, S., Hofman, J., Mason, W., & Watts, D. (2011). Who says what to whom on Twitter. Proceedings of the WWW’11 Conference, Hyderabad.
   Google Scholar
• yourTwapperkeeper. (2011). Retrieved from http://your.twapperkeeper.com/
   Google Scholar