Modeling blogger influence in a community

@article{Agarwal2011ModelingBI,
  title={Modeling blogger influence in a community},
  author={Nitin Agarwal and Huan Liu and Lei Tang and Philip S. Yu},
  journal={Social Network Analysis and Mining},
  year={2011},
  volume={2},
  pages={139-162}
}
Blogging has become a popular and convenient way to communicate, publish information, share preferences, voice opinions, provide suggestions, report news, and form virtual communities in the Blogosphere. The blogosphere obeys a power law distribution with very few blogs being extremely influential and a huge number of blogs being largely unknown. Regardless of a (multi-author) blog being influential or not, there are influential bloggers. However, the sheer number of such blogs makes it… CONTINUE READING
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References

Publications referenced by this paper.
SHOWING 1-10 OF 65 REFERENCES

One American in ten tells the other nine how to vote, where to eat and, what to buy. They are The Influentials

E. Keller, J. Berry
  • 2003
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

The Anatomy of a Large-Scale Hypertextual Web Search Engine

  • Computer Networks
  • 1998
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

How can we measure the influence of the blogosphere

K. E. Gill
  • In Proceedings of the WWW’04: workshop on the Weblogging Ecosystem: Aggregation, Analysis and Dynamics,
  • 2004
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

Finding topic - sensitive influential twitterers

J. Han, P. S. Yu
  • 2010

The proof and measurement of association between two things.

  • International journal of epidemiology
  • 2010
VIEW 1 EXCERPT