Skip to main content

Part of the book series: Lecture Notes in Social Networks ((LNSN,volume 6))

Abstract

An Internet forum is a Web application for publishing user-generated content under the form of a discussion. The most important feature of Internet forums is their social aspect. Many forums are active for a long period of time and attract a group of dedicated users, who build a tight social community around a forum. With great abundance of forums devoted to every possible aspect of human activity, such as politics, religion, sports, technology, entertainment, economy, fashion, and many more, users are able to find a forum that perfectly suits their needs and interests. Communities of users forming around popular Internet forums undergo an evolution over time. Some Internet forums become more dense and saturated with users, some Internet forums dissolve in broader discussion topics. Forums can differ in ways they attract new users, maintain current users or decay in membership and posting intensity. In this paper we introduce a micro-community-based model for measuring the evolution of Internet forums. We show how simple concept of a micro-community can be used to quantitatively assess the openness and durability of an Internet forum. We also show that our model is capable of producing a taxonomy of Internet forums using unsupervised clustering method. We present the micro-community model, the set of basic statistics, and we apply the model to several real-world online forum communities to experimentally verify the correctness and robustness of the model.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules. In: Bocca, J.B., Jarke, M., Zaniolo, C. (eds.) Proceedings of the 20th International Conference on Very Large Data Bases, VLDB, pp. 487–499. Morgan Kaufmann, Hove (1994)

    Google Scholar 

  2. Alm, C.O., Roth, D., Sproat, R.: Emotions from text: machine learning for text-based emotion prediction. In: Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, Vancouver, pp. 579–586. Association for Computational Linguistics, East Stroudsburg, (2005)

    Google Scholar 

  3. Brandes, U., Erlebach, T.: Network Analysis. Methodological Foundations. Lecture Notes in Computer Science, vol. 3418. Springer, Berlin/New York (2005)

    Google Scholar 

  4. Carrington, P.J., Scott, J., Wasserman, S.: Models and Methods in Social Network Analysis. Cambridge University Press, Cambridge (2005)

    Book  Google Scholar 

  5. Faust, K., Skvoretz, J.: Comparing networks across space and time, size and species. Sociol. Methodol. 32, 267–299 (2002)

    Article  Google Scholar 

  6. Feldman, R., Sanger, J.: The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data. Cambridge University Press, Leiden (2006)

    Book  Google Scholar 

  7. Fisher, D., Smith, M., Welser, H.T.: You are who you talk to: detecting roles in usenet newsgroups. In: HICSS ’06: Proceedings of the 39th Annual Hawaii International Conference on System Sciences, vol. 3, p. 59b. IEEE Computer Society, Washington, DC (2006)

    Google Scholar 

  8. Golder, S.: A typology of social roles in usenet. Ph.D. thesis, Harvard University (2003)

    Google Scholar 

  9. Hanneman, R.A., Riddle, M.: Introduction to Social Network Methods. University of California, Riverside (2005)

    Google Scholar 

  10. Manning, C.D., Schuetze, H.: Foundations of Statistical Natural Language Processing, 1 edn. MIT, Cambridge (1999)

    MATH  Google Scholar 

  11. Marcoccia, M.: On-line polylogues: conversation structure and participation framework in internet newsgroups. J. Pragmat. 36(1), 115–145 (2004)

    Article  Google Scholar 

  12. Merton, R.K.: Social Theory and Social Structure. Free Press, New York (1968)

    Google Scholar 

  13. Parsons, T.: The Social System, 2nd edn. Routledge, London (1991)

    Google Scholar 

  14. Turner, T.C., Smith, M.A., Welser, H.T.: Picturing usenet: mapping computer-mediated collective action. J. Comput. Mediat. Commun. 10(4), 1–24 (2005)

    Google Scholar 

  15. Viegas, F.B., Smith, M.: Newsgroup crowds and AuthorLines: visualizing the activity of individuals in conversational cyberspaces. In: Proceedings of the 37th Annual Hawaii International Conference on System Sciences, 2004, pp. 10. IEEE Computer Society, Los Alamitos (2004)

    Google Scholar 

  16. Weiss, S., Indurkhya, N., Zhang, T., Damerau, F.: Text Mining: Predictive Methods for Analyzing Unstructured Information. Springer, New York (2004)

    Google Scholar 

  17. Welser, H.T., Gleave, E., Fisher, D., Smith, M.: Visualizing the signatures of social roles in online discussion groups. J. Soc. Struct. 8(2), 564–586 (2007)

    Google Scholar 

  18. Wenger, E.: Communities of Practice: Learning, Meaning, and Identity, 1 edn. Cambridge University Press, Cambridge/New York (1998)

    Google Scholar 

  19. Wenger, E., Snyder, W.M.: Communities of practice: the organizational frontier. Harvard Bus. Rev. 78(1), 139–146 (2000)

    Google Scholar 

  20. Wenger, E., Mcdermott, R., Snyder, W.: Cultivating Communities of Practice: A Guide to Managing Knowledge. Harvard Business School, Boston (2002)

    Google Scholar 

Download references

Acknowledgements

Research supported by the Polish Ministry of Science grant N N516 371236.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mikolaj Morzy .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Wien

About this chapter

Cite this chapter

Morzy, M. (2013). Evolution of Online Forum Communities. In: Özyer, T., Rokne, J., Wagner, G., Reuser, A. (eds) The Influence of Technology on Social Network Analysis and Mining. Lecture Notes in Social Networks, vol 6. Springer, Vienna. https://doi.org/10.1007/978-3-7091-1346-2_27

Download citation

  • DOI: https://doi.org/10.1007/978-3-7091-1346-2_27

  • Published:

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-7091-1345-5

  • Online ISBN: 978-3-7091-1346-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics