Skip to main content

Prosperity and Decline of Online Communities

  • Conference paper
PRIMA 2013: Principles and Practice of Multi-Agent Systems (PRIMA 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8291))

  • 1702 Accesses

Abstract

On the basis of analyzing user behavior using the actual data of online communities, we constructed a model of user behavior in an online community. We found two fundamental characteristics (diversity and motivation of participants (content-oriented or friendship-based)) that majorly affect the time evolution of online communities. In addition, the model reproduced what happens in reality, such as time-scale transition of the number of posts and distribution of the number of posts in all periods.

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 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. Laine, et al.: User Groups in Social Networks: An Experimental Study on YouTube. In: 44th Hawaii International Conference on System Sciences (HICSS). IEEE (2011)

    Google Scholar 

  2. Ahn, Y., Han, S., et al.: Analysis of Topological Characteristics of Huge Online Social Networking Services. In: 16th International Conference on W3C. ACM (2007)

    Google Scholar 

  3. Garcia, D., Mavrodiev, P., Schweitzer, F.: Social Resilience in Online Communities: The Autopsy of Friendster. arXiv preprint arXiv:1302.6109 (2013)

    Google Scholar 

  4. Dror, G., Pelleg, D., et al.: Churn Prediction in New Users of Yahoo! Answers. In: Proceedings of the 21st International Conference Companion on WWW. ACM (2012)

    Google Scholar 

  5. Liu, H., Nazir, A., et al.: Modeling/predicting the Evolution Trend of Osn-Based Applications. In: Proceedings of the 22nd International Conference on WWW (2013)

    Google Scholar 

  6. Backstrom, L., et al.: Group Formation in Large Social Networks: Membership, Growth, and Evolution. In: 12th ACM SIGKDD International Conference. ACM (2006)

    Google Scholar 

  7. Zheleva, E., Sharara, H., Getoor, L.: Co-Evolution of Social and Affiliation Networks. In: 15th ACM SIGKDD International Conference. ACM (2009)

    Google Scholar 

  8. Foudalis, et al.: Modeling social networks through user background and behavior. In: Anonymous Algorithms and Models for the Web Graph. Springer (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Asatani, K., Toriumi, F., Ohashi, H., Tashiro, M., Suzuki, R. (2013). Prosperity and Decline of Online Communities. In: Boella, G., Elkind, E., Savarimuthu, B.T.R., Dignum, F., Purvis, M.K. (eds) PRIMA 2013: Principles and Practice of Multi-Agent Systems. PRIMA 2013. Lecture Notes in Computer Science(), vol 8291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-44927-7_27

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-44927-7_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-44926-0

  • Online ISBN: 978-3-642-44927-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics