Information Propagation Analysis in a Social Network Site

@article{Magnani2010InformationPA,
  title={Information Propagation Analysis in a Social Network Site},
  author={Matteo Magnani and Danilo Montesi and Luca Rossi},
  journal={2010 International Conference on Advances in Social Networks Analysis and Mining},
  year={2010},
  pages={296-300}
}
One of the most interesting and still not completely understood phenomena happening in Social Network Sites is their ability to spread (or not) units of information which may aggregate to form large distributed conversations. In this paper we present the result of an empirical study on a Large Social Database (LSD) aimed at measuring the factors enabling information spreading in Social Network Sites. 

Citations

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SHOWING 1-10 OF 13 CITATIONS

Large-Scale Data Analytics

VIEW 4 EXCERPTS
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Spreading Processes in Multilayer Networks

  • IEEE Transactions on Network Science and Engineering
  • 2015
VIEW 1 EXCERPT
CITES BACKGROUND

Conversation Analysis on Social Networking Sites

  • 2014 Tenth International Conference on Signal-Image Technology and Internet-Based Systems
  • 2014
VIEW 1 EXCERPT
CITES BACKGROUND

Factors Enabling Information Propagation in a Social Network Site

  • The Influence of Technology on Social Network Analysis and Mining
  • 2013

References

Publications referenced by this paper.
SHOWING 1-10 OF 11 REFERENCES

Friendfeed Breaking News: Death of a Public Figure

  • 2010 IEEE Second International Conference on Social Computing
  • 2010
VIEW 1 EXCERPT

If It Doesn’t Spread, It’s Dead : Media Viruses and Memes

H. Jenkins, X. Li, A. Krauskopf, J. Green
  • 2010. Available at: http://henryjenkins.org/2009/02/if it doesnt spread its dead p.html
  • 2010
VIEW 2 EXCERPTS

Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter

  • 2010 43rd Hawaii International Conference on System Sciences
  • 2010
VIEW 2 EXCERPTS

A model of internet topology using k-shell decomposition

S. Carmi, S. Havlin, S. Kirpatrick, Y. Shavitt, E. Shir
  • PNAS, vol. 104, no. 27, 2007.
  • 2007
VIEW 1 EXCERPT

Networks and epidemic models.

  • Journal of the Royal Society, Interface
  • 2005
VIEW 1 EXCERPT