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AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
Atzmueller, M. Mining Social Media: Key Players, Sentiments, and Communities 2012 WIREs: Data Mining and Knowledge Discovery   article  
BibTeX:
@article{Atzmueller:12c,
  author = {Atzmueller, Martin},
  title = {{Mining Social Media: Key Players, Sentiments, and Communities}},
  journal = {WIREs: Data Mining and Knowledge Discovery},
  year = {2012},
  volume = {In Press}
}
Noack, A. Modularity clustering is force-directed layout 2008   misc URL  
Abstract: Two natural and widely used representations for the community structure of networks are clusterings, which partition the vertex set into disjoint subsets, and layouts, which assign the vertices to positions in a metric space. This paper unifies prominent characterizations of layout quality and clustering quality, by showing that energy models of pairwise attraction and repulsion subsume Newman and Girvan's modularity measure. Layouts with optimal energy are relaxations of, and are thus consistent with, clusterings with optimal modularity, which is of practical relevance because both representations are complementary and often used together.
BibTeX:
@misc{noack08modularity,
  author = {Noack, Andreas},
  title = {Modularity clustering is force-directed layout},
  year = {2008},
  url = {http://www.citebase.org/abstract?id=oai:arXiv.org:0807.4052}
}
Tyler, J. R., Wilkinson, D. M. & Huberman, B. A. Email as Spectroscopy: Automated Discovery of Community Structure within Organizations 2003   misc URL  
BibTeX:
@misc{tyler2003email,
  author = {Tyler, Joshua R and Wilkinson, Dennis M and Huberman, Bernardo A},
  title = {Email as Spectroscopy: Automated Discovery of Community Structure   within Organizations},
  year = {2003},
  url = {http://www.citebase.org/cgi-bin/citations?id=oai:arXiv.org:cond-mat/0303264}
}

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