Skip to main content

News Posting by Strategic Users in a Social Network

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5929))

Abstract

We argue that users in social networks are strategic in how they post and propagate information. We propose two models — greedy and courteous — and study information propagation both analytically and through simulations. For a suitable random graph model of a social network, we prove that news propagation follows a threshold phenomenon, hence, “high-quality” information provably spreads throughout the network assuming users are “greedy”. Starting from a sample of the Twitter graph, we show through simulations that the threshold phenomenon is exhibited by both the greedy and courteous user models.

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

Buying options

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 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

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Compete – Site Comparison, http://siteanalytics.compete.com/facebook.com+google.com/?metric=uv

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

  3. Journalism Rules Are Bent in News Coverage From Iran, http://www.nytimes.com/2009/06/29/business/media/29coverage.html

  4. Twitter Revolution in Iran, http://money.cnn.com/video/news/2009/06/22/n_twitter_revolution_iran_pentagon.cnnmoney

  5. Domingos, P., Richardson, M.: Mining the network value of customers. In: Proc. 7th ACM SIGKDD (2001)

    Google Scholar 

  6. Domingos, P., Richardson, M.: Mining knowledge-sharing sites for viral marketing. In: Proc. 8th ACM SIGKDD (2002)

    Google Scholar 

  7. Erdos, P., Renyi, A.: On the evolution of random graphs. Publ. Math. Inst. Hung. Acad. Sci. 5 (1960)

    Google Scholar 

  8. Gupte, M., Hajiaghayi, M., Han, L., Iftode, L., Shankar, P., Ursu, R.M.: News posting by strategic users in a social network. Technical Report DCS-tr-657, Rutgers University, Department of Computer Science (October 2009)

    Google Scholar 

  9. Kempe, D., Kleinberg, J., Tardos, E.: Maximizing the spread of influence through a social network. In: Proc. 9th ACM SIGKDD (2003)

    Google Scholar 

  10. Leskovec, J., Backstrom, L., Kleinberg, J.: Meme-tracking and the dynamics of the news cycle. In: Proc. 15th ACM SIGKDD (2009)

    Google Scholar 

  11. Leskovec, J., Faloutsos, C.: Scalable modeling of real graphs using kronecker multiplication. In: International Conference on Machine Learning, ICML (2007)

    Google Scholar 

  12. Leskovec, J., Kleinberg, J., Faloutsos, C.: Graphs over time: Densification laws, shrinking diameters and possible explanations. In: Proc. 11th ACM SIGKDD (2005)

    Google Scholar 

  13. Leskovec, J., Singh, A., Kleinberg, J.: Patterns of influence in a recommendation network. In: Ng, W.-K., Kitsuregawa, M., Li, J., Chang, K. (eds.) PAKDD 2006. LNCS (LNAI), vol. 3918, pp. 380–389. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  14. Mahdian, M., Xu, Y.: Stochastic kronecker graphs. In: Bonato, A., Chung, F.R.K. (eds.) WAW 2007. LNCS, vol. 4863, pp. 179–186. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  15. Molloy, M., Reed, B.: A critical point for random graphs with a given degree sequence. Random Structures and Algorithms 6 (1995)

    Google Scholar 

  16. Morris, S.: Contagion. Review of Economic Studies 67 (2000)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Gupte, M., Hajiaghayi, M., Han, L., Iftode, L., Shankar, P., Ursu, R.M. (2009). News Posting by Strategic Users in a Social Network. In: Leonardi, S. (eds) Internet and Network Economics. WINE 2009. Lecture Notes in Computer Science, vol 5929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10841-9_65

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-10841-9_65

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10840-2

  • Online ISBN: 978-3-642-10841-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics