ABSTRACT
Microblogging is a new form of communication in which users can describe their current status in short posts distributed by instant messages, mobile phones, email or the Web. Twitter, a popular microblogging tool has seen a lot of growth since it launched in October, 2006. In this paper, we present our observations of the microblogging phenomena by studying the topological and geographical properties of Twitter's social network. We find that people use microblogging to talk about their daily activities and to seek or share information. Finally, we analyze the user intentions associated at a community level and show how users with similar intentions connect with each other.
- J. Allen. Recognizing intentions from natural language utterances. Computational Models of Discourse, pages 107--166, 1983.Google Scholar
- J. Austin. How to Do Things with Words. Oxford University Press Oxford, 1976.Google Scholar
- A.-L. Barabasi and R. Albert. Emergence of scaling in random networks. Science, 286:509, 1999.Google ScholarCross Ref
- Blogpulse. The 3rd annual workshop on weblogging ecosystem: Aggregation, analysis and dynamics, 15th world wide web conference, May 2006.Google Scholar
- A. Broder. A taxonomy of web search. SIGIR Forum, 36(2):3--10, 2002. Google ScholarDigital Library
- A. Broder, R. Kumar, F. Maghoul, P. Raghavan, S. Rajagopalan, R. Stata, A. Tomkins, and J. Wiener. Graph structure in the web. In Proceedings of the 9th international World Wide Web conference on Computer networks: the international journal of computer and telecommunications networking, pages 309--320, Amsterdam, The Netherlands, The Netherlands, 2000. North-Holland Publishing Co. Google ScholarDigital Library
- A. Clauset, M. E. J. Newman, and C. Moore. Finding community structure in very large networks. Physical Review E, 70:066111, 2004.Google ScholarCross Ref
- A. Clauset, C. R. Shalizi, and M. E. J. Newman. Power-law distributions in empirical data, Jun 2007.Google Scholar
- Comscore. http://www.usatoday.com/tech/webguide/2007-05-28-social-sites_N.htm.Google Scholar
- I. Derenyi, G. Palla, and T. Vicsek. Clique percolation in random networks. Physical Review Letters, 94:160202, 2005.Google ScholarCross Ref
- D. Donato, L. Laura, S. Leonardi, and S. Millozzi. Large scale properties of the webgraph. European Physical Journal B, 38:239--243, March 2004.Google ScholarCross Ref
- G. W. Flake, S. Lawrence, C. L. Giles, and F. Coetzee. Self-organization of the web and identification of communities. IEEE Computer, 35(3):66--71, 2002. Google ScholarDigital Library
- M. Girvan and M. E. J. Newman. Community structure in social and biological networks, Dec 2001.Google Scholar
- H. Grice. Utterers meaning and intentions. Philosophical Review, 78(2):147--177, 1969.Google ScholarCross Ref
- B. J. Grosz. Focusing and Description in Natural Language Dialogues. Cambridge University Press, New York, New York, 1981.Google Scholar
- A. Java. http://ebiquity.umbc.edu/blogger/2007/04/15/global-distribution-of-twitter-users/.Google Scholar
- J. M. Kleinberg. Authoritative sources in a hyperlinked environment. Journal of the ACM, 46(5):604--632, 1999. Google ScholarDigital Library
- P. Kolari, T. Finin, Y. Yesha, Y. Yesha, K. Lyons, S. Perelgut, and J. Hawkins. On the Structure, Properties and Utility of Internal Corporate Blogs. In Proceedings of the International Conference on Weblogs and Social Media (ICWSM 2007) , March 2007.Google Scholar
- R. Kumar, P. Raghavan, S. Rajagopalan, and A. Tomkins. Trawling the Web for emerging cyber-communities. Computer Networks (Amsterdam, Netherlands: 1999) , 31(11--16):1481--1493, 1999. Google ScholarDigital Library
- A. Lavallee. Friends swap twitters, and frustration - new real-time messaging services overwhelm some users with mundane updates from friends, March 16, 2007.Google Scholar
- T. Lento, H. T. Welser, L. Gu, and M. Smith. The ties that blog: Examining the relationship between social ties and continued participation in the wallop weblogging system, 2006.Google Scholar
- D. Liben-Nowell, J. Novak, R. Kumar, P. Raghavan, and A. Tomkins. Geographic routing in social networks. Proceedings of the National Academy of Sciences, 102(33):11623--1162, 2005.Google ScholarCross Ref
- Y.-R. Lin, H. Sundaram, Y. Chi, J. Tatemura, and B. Tseng. Discovery of Blog Communities based on Mutual Awareness. In Proceedings of the 3rd Annual Workshop on Weblogging Ecosystem: Aggregation, Analysis and Dynamics, 15th World Wide Web Conference, May 2006.Google Scholar
- S. Matsubara, S. Kimura, N. Kawaguchi, Y. Yamaguchi, and Y. Inagaki. Example-based Speech Intention Understanding and Its Application to In-Car Spoken Dialogue System. Proceedings of the 19th international conference on Computational linguistics-Volume 1, pages 1--7, 2002. Google ScholarDigital Library
- A. A. Nanavati, S. Gurumurthy, G. Das, D. Chakraborty, K. Dasgupta, S. Mukherjea, and A. Joshi. On the structural properties of massive telecom call graphs: findings and implications. In CIKM '06: Proceedings of the 15th ACM international conference on Information and knowledge management, pages 435--444, New York, NY, USA, 2006. ACM Press. Google ScholarDigital Library
- B. A. Nardi, D. J. Schiano, M. Gumbrecht, and L. Swartz. Why we blog. Commun. ACM, 47(12):41--46, 2004. Google ScholarDigital Library
- M. E. J. Newman. Power laws, pareto distributions and zipf's law. Contemporary Physics, 46:323, 2005.Google ScholarCross Ref
- G. Palla, I. Derenyi, I. Farkas, and T. Vicsek. Uncovering the overlapping community structure of complex networks in nature and society. Nature, 435:814, 2005.Google ScholarCross Ref
- J. Pontin. From many tweets, one loud voice on the internet. The New York Times, April 22, 2007.Google Scholar
- P. Rayson and R. Garside. Comparing corpora using frequency profiling, 2000. Google ScholarDigital Library
- X. Shi, B. Tseng, and L. A. Adamic. Looking at the blogosphere topology through different lenses. In Proceedings of the International Conference on Weblogs and Social Media (ICWSM 2007) , March 2007.Google Scholar
- P. Strawson. Intention and Convention in Speech Acts. The Philosophical Review, 73(4):439--460, 1964.Google ScholarCross Ref
- D. J. Watts and S. H. Strogatz. Collective dynamics of 'small-world' networks. Nature, 393(6684):440--442, June 1998.Google ScholarCross Ref
Index Terms
- Why we twitter: understanding microblogging usage and communities
Recommendations
Measuring influence on Twitter
i-KNOW '11: Proceedings of the 11th International Conference on Knowledge Management and Knowledge TechnologiesThere are currently over 175 million Twitter accounts worldwide, making Twitter one of the most popular and most observed Social Media platform. But Twitter is not so much a social network where the exchange of personal information is facilitated -- in ...
A comparative study of users' microblogging behavior on sina weibo and twitter
UMAP'12: Proceedings of the 20th international conference on User Modeling, Adaptation, and PersonalizationIn this article, we analyze and compare user behavior on two different microblogging platforms: (1) Sina Weibo which is the most popular microblogging service in China and (2) Twitter. Such a comparison has not been done before at this scale and is ...
Information resonance on Twitter: watching Iran
SOMA '10: Proceedings of the First Workshop on Social Media AnalyticsTwitter has undoubtedly caught the attention of both the general public, and academia as a microblogging service worthy of study and attention. Twitter has several features that sets it apart from other social media/networking sites, including its 140 ...
Comments