Following the Conversation: A More Meaningful Expression of Engagement

Twitter is a relatively recent phenomenon, and the common metric of success is number of followers. Because people use Twitter in a myriad different ways, and the presence of spammers, it is necessary to discover new ways of quantifying success. In this paper, we explore the nature of engagement on Twitter and find the traditional follower/following network to be meaningless in this regard. Building on previous research, we define engagement in terms of interactions using the @ notation, and visualize this as a graph. We then apply clique finding techniques to this graph, to extract a sub-graph of the most important connections in a user’s immediate network.

[1]  Darren Gergle,et al.  Emotion rating from short blog texts , 2008, CHI.

[2]  Jon M. Kleinberg,et al.  Inferring Web communities from link topology , 1998, HYPERTEXT '98.

[3]  Didier Sornette,et al.  Discrete hierarchical organization of social group sizes , 2004, Proceedings of the Royal Society B: Biological Sciences.

[4]  Krishna P. Gummadi,et al.  A measurement-driven analysis of information propagation in the flickr social network , 2009, WWW '09.

[5]  Luitpold Babel Finding maximum cliques in arbitrary and in special graphs , 2005, Computing.

[6]  Matthew Richardson,et al.  Yes, there is a correlation: - from social networks to personal behavior on the web , 2008, WWW.

[7]  Ravi Kumar,et al.  Trawling the Web for Emerging Cyber-Communities , 1999, Comput. Networks.

[8]  Danah Boyd,et al.  Detecting Spam in a Twitter Network , 2009, First Monday.

[9]  Toshinobu Kashiwabara,et al.  Efficient algorithms for finding maximum cliques of an overlap graph , 1990, Networks.

[10]  Danah Boyd,et al.  Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter , 2010, 2010 43rd Hawaii International Conference on System Sciences.

[11]  Patric R. J. Östergård,et al.  A fast algorithm for the maximum clique problem , 2002, Discret. Appl. Math..

[12]  Tad Hogg,et al.  Dynamics and diversity of online community activities , 2008, 0803.3482.

[13]  Jennifer Preece,et al.  Sociability and usability in online communities: Determining and measuring success , 2001, Behav. Inf. Technol..

[14]  M. Newman,et al.  Why social networks are different from other types of networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[15]  A. Bernardo,et al.  Huberman, Romero, and Wu, Fang. . Social Networks that Matter: Twitter Under the Microscope. , 2008 .

[16]  Bernardo A. Huberman,et al.  Rhythms of social interaction: messaging within a massive online network , 2006, ArXiv.

[17]  K. Crawford Following you: Disciplines of listening in social media , 2009 .

[18]  Jon M. Kleinberg,et al.  The Web as a Graph: Measurements, Models, and Methods , 1999, COCOON.

[19]  Andrei Z. Broder,et al.  Graph structure in the Web , 2000, Comput. Networks.

[20]  Ben Y. Zhao,et al.  User interactions in social networks and their implications , 2009, EuroSys '09.

[21]  Tad Hogg,et al.  Diversity of online community activities , 2008, Hypertext.

[22]  B. Hogan Networking in Everyday Life , 2009 .

[23]  Reza Olfati-Saber,et al.  Evolutionary dynamics of behavior in social networks , 2007, 2007 46th IEEE Conference on Decision and Control.

[24]  Sergey Brin,et al.  The Anatomy of a Large-Scale Hypertextual Web Search Engine , 1998, Comput. Networks.

[25]  Panos M. Pardalos,et al.  The maximum clique problem , 1994, J. Glob. Optim..

[26]  Fang Wu,et al.  Social Networks that Matter: Twitter Under the Microscope , 2008, First Monday.

[27]  Jon Kleinberg,et al.  The link prediction problem for social networks , 2003, CIKM '03.

[28]  John Yen,et al.  Advances in Web Mining and Web Usage Analysis, 8th International Workshop on Knowledge Discovery on the Web, WebKDD 2006, Philadelphia, PA, USA, August 20, 2006, Revised Papers , 2007, WebKDD.

[29]  Sarah Milstein,et al.  The Twitter Book , 2009 .

[30]  Timothy W. Finin,et al.  Why We Twitter: An Analysis of a Microblogging Community , 2009, WebKDD/SNA-KDD.

[31]  Kevin Makice,et al.  Twitterspace: a co-developed display using Twitter to enhance community awareness , 2008, PDC.

[32]  Adam N. Joinson,et al.  Looking at, looking up or keeping up with people?: motives and use of facebook , 2008, CHI.