Analyzing competitive influence maximization problems with partial information: An approximation algorithmic framework. Lin, Y. & Lui, J.&nbsp;C.<nbsp>S. Perform. Eval., 91:187-204, 2015.
Analyzing competitive influence maximization problems with partial information: An approximation algorithmic framework. [link]Link  Analyzing competitive influence maximization problems with partial information: An approximation algorithmic framework. [link]Paper  bibtex   
@article{ journals/pe/LinL15,
  added-at = {2015-08-18T00:00:00.000+0200},
  author = {Lin, Yishi and Lui, John C. S.},
  biburl = {http://www.bibsonomy.org/bibtex/240e3c7ca9259ea7d7b7b59d612d1aa1f/dblp},
  ee = {http://dx.doi.org/10.1016/j.peva.2015.06.012},
  interhash = {64bb822e4110dd8b49ebf99328f967bf},
  intrahash = {40e3c7ca9259ea7d7b7b59d612d1aa1f},
  journal = {Perform. Eval.},
  keywords = {dblp},
  pages = {187-204},
  title = {Analyzing competitive influence maximization problems with partial information: An approximation algorithmic framework.},
  url = {http://dblp.uni-trier.de/db/journals/pe/pe91.html#LinL15},
  volume = {91},
  year = {2015}
}

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