Skip to main content
SpringerLink
Log in

Following the Conversation: A More Meaningful Expression of Engagement

  • Conference paper
Book cover E-Technologies: Transformation in a Connected World (MCETECH 2011)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 78))

Included in the following conference series:

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Java, A., Song, X., Finin, T., Tseng, B.: Why we twitter: An analysis of a microblogging community. In: Zhang, H., Spiliopoulou, M., Mobasher, B., Giles, C.L., McCallum, A., Nasraoui, O., Srivastava, J., Yen, J. (eds.) WebKDD 2007. LNCS, vol. 5439, pp. 118–138. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  2. Ryan, W., Hazlewood, W.R., Makice, K.: Twitterspace: A co-developed display using Twitter to enhance community awareness. In: PDC 2008, pp. 230–234 (2008)

    Google Scholar 

  3. Wilson, C., Boe, B., Sala, A., Puttaswamy, K.P.N., Zhao, B.Y.: User interactions in social networks and their implications. In: Proceedings of the Fourth ACM European Conference on Computer Systems, pp. 205–218. ACM, Nuremberg (2009)

    Chapter  Google Scholar 

  4. Joinson, A.N.: Looking at, looking up or keeping up with people? motives and use of facebook. In: Proceeding of the Twenty-Sixth Annual SIGCHI Conference on Human Factors in Computing Systems, pp. 1027–1036. ACM, Florence (2008)

    Chapter  Google Scholar 

  5. Statistics | Facebook, http://www.facebook.com/press/info.php?statistics

  6. O’Reilly, T., Milstein, S.: The Twitter Book. O’Reilly Media, Inc., Sebastopol (2009)

    Google Scholar 

  7. Cha, M., Mislove, A., Gummadi, K.P.: A measurement-driven analysis of information propagation in the flickr social network. In: Proceedings of the 18th International Conference on World wide web, pp. 721–730. ACM, Madrid (2009)

    Chapter  Google Scholar 

  8. Boyd, D.: Tweet, tweet,retweet: Conversational aspects of retweeting ontwitter. In: Proceedings of HICSS-43 (2010)

    Google Scholar 

  9. Crawford, K.: Following you: Disciplines of listening in social media. Continuum: Journal of Media &# 38; Cultural Studies 23, 525–535 (2009)

    Article  Google Scholar 

  10. bit.ly, a simple url shortener, http://bit.ly/

  11. The Science of ReTweets Report | Dan Zarrella, http://danzarrella.com/the-science-of-retweets-report.html

  12. Topsy - A search engine powered by tweets, http://topsy.com/

  13. Newman, M.E.J., Park, J.: Why social networks are different from other types of networks. Physical Review E 68, 36122 (2003)

    Google Scholar 

  14. Olfati-Saber, R.: Evolutionary dynamics of behavior in social networks. In: 2007 46th IEEE Conference on Decision and Control, pp. 4051–4056 (2007)

    Google Scholar 

  15. Klout - Twitter Analytics - Measuring Influence Across The Social Web, http://www.klout.net/

  16. Broder, A., Kumar, R., Maghoul, F., Raghavan, P., Rajagopalan, S., Stata, R., Tomkins, A., Wiener, J.: Graph structure in the web. Computer Networks 33, 309–320 (2000)

    Article  Google Scholar 

  17. Kleinberg, J.M., Kumar, S.R., Raghavan, P., Rajagopalan, S., Tomkins, A.S.: The web as a graph: Measurements, models, and methods. In: Asano, T., Imai, H., Lee, D.T., Nakano, S.-i., Tokuyama, T. (eds.) COCOON 1999. LNCS, vol. 1627, pp. 1–17. Springer, Heidelberg (1999)

    Chapter  Google Scholar 

  18. Huberman, B.A., Romero, D.M., Wu, F.: Social Networks That Matter: Twitter Under the Microscope. In: SSRN eLibrary (December 2008)

    Google Scholar 

  19. Golder, S.A., Wilkinson, D.M., Huberman, B.A.: Rhythms of social interaction: Messaging within a massive online network. In: Communities and Technologies 2007: Proceedings of the Third Communities and Technologies Conference, Michigan State University, p. 41 (2007)

    Google Scholar 

  20. Preece, J.: Sociability and usability in online communities: determining and measuring success. Behaviour& Information Technology 20, 347–356 (2001)

    Article  Google Scholar 

  21. Loch, C.H., Tyler, J.R., Lukose, R.: Conversational Structure in Email and Face to Face Communication. Draft, submitted to Organization Science

    Google Scholar 

  22. Zhou, W., Sornette, D., Hill, R., Dunbar, R.: Discrete hierarchical organization of social group sizes. Proc. R. Soc. B, 439–444 (2005)

    Google Scholar 

  23. Brin, S., Page, L.: The anatomy of a large-scale hypertextual Web search engine. Computer Networks and ISDN Systems 30, 107–117 (1998)

    Article  Google Scholar 

  24. Yardi, S., Romero, D., Schoenebeck, G., boyd, d.: Yardi, Detecting Spam in a Twitter Network, http://www.uic.edu/htbin/cgiwrap/bin/ojs/index.php/fm/article/view/2793/2431

  25. Gibson, D., Kleinberg, J., Raghavan, P.: Inferring web communities from link topology

    Google Scholar 

  26. Kumar, R., Raghavan, P., Rajagopalan, S., Tomkins, A.: Trawling the Web for emerging cyber-communities. Computer Networks 31, 1481–1493 (1999)

    Article  Google Scholar 

  27. Hogg, T., Szabo, G.: Dynamics and diversity of online community activities. EPL (Europhysics Letters) 86, 38003 (2009)

    Google Scholar 

  28. Singla, P., Richardson, M.: Yes, there is a correlation: - from social networks to personal behavior on the web. In: Proceeding of the 17th International Conference on World Wide Web, pp. 655–664. ACM, Beijing (2008)

    Chapter  Google Scholar 

  29. Österg, P.R.J.: A fast algorithm for the maximum clique problem. Discrete Applied Mathematics 120, 197–207 (2002)

    Article  Google Scholar 

  30. Pardalos, P.M., Xue, J.: The maximum clique problem. Journal of Global Optimization 4, 301–328 (1994)

    Article  Google Scholar 

  31. Masuda, S., Nakajima, K., Kashiwabara, T., Fujisawa, T.: Efficient Algorithms for Finding Maximum Cliques of an Overlap Graph (1986)

    Google Scholar 

  32. Babel, L.: Finding maximum cliques in arbitrary and in special graphs. Computing 46, 321–341 (1991)

    Article  Google Scholar 

  33. Liben-Nowell, D., Kleinberg, J.: The link prediction problem for social networks. In: Proceedings of the Twelfth International Conference on Information and Knowledge Management, pp. 556–559 (2003)

    Google Scholar 

  34. Hogan, B.J.: Networking in everyday life, University of Toronto (2009)

    Google Scholar 

  35. What will (2011), bring for journalism? Clay Shirky predicts widespread disruptions for syndication » Nieman Journalism Lab (2011), http://www.niemanlab.org/2010/12/what-will-2011-bring-for-journalism-clay-shirky-predicts-widespread-disruptions-for-syndication/

Download references

Author information

Authors and Affiliations

  1. University of Ottawa, Canada

    Cate Huston & Morad Benyoucef

  2. Carleton University, Canada

    Michael Weiss

Authors
  1. Cate Huston
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Michael Weiss
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Morad Benyoucef
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Technologies de l’Information, HEC Montréal, 3000, ch. de la Côte-Sainte-Catherine, H3T 2A7, Montréal, Québec, Canada

    Gilbert Babin

  2. Academy of Journalism and Media, University of Neuchâtel, rue Emile-Argand 11, CH-2000, Neuchâtel, Switzerland

    Katarina Stanoevska-Slabeva

  3. Institute of Computer Science, University of Neuchâtel, rue Emile-Argand 11, CH-2000, Neuchâtel, Switzerland

    Peter Kropf

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Huston, C., Weiss, M., Benyoucef, M. (2011). Following the Conversation: A More Meaningful Expression of Engagement. In: Babin, G., Stanoevska-Slabeva, K., Kropf, P. (eds) E-Technologies: Transformation in a Connected World. MCETECH 2011. Lecture Notes in Business Information Processing, vol 78. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20862-1_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-20862-1_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20861-4

  • Online ISBN: 978-3-642-20862-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation