An information-theoretic approach for detecting communities in networks
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DOI: 10.1007/s11135-014-9996-8
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- Rosario D’Agata & Simona Gozzo & Venera Tomaselli, 2013. "Network analysis approach to map tourism mobility," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(6), pages 3167-3184, October.
- Gergely Palla & Imre Derényi & Illés Farkas & Tamás Vicsek, 2005. "Uncovering the overlapping community structure of complex networks in nature and society," Nature, Nature, vol. 435(7043), pages 814-818, June.
- Leland H. Hartwell & John J. Hopfield & Stanislas Leibler & Andrew W. Murray, 1999. "From molecular to modular cell biology," Nature, Nature, vol. 402(6761), pages 47-52, December.
- Francesca Pallotti & Alessandro Lomi & Daniele Mascia, 2013. "From network ties to network structures: Exponential Random Graph Models of interorganizational relations," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(3), pages 1665-1685, April.
- Han Park, 2012. "How do social scientists use link data from search engines to understand Internet-based political and electoral communication?," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(2), pages 679-693, February.
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Keywords
Community; Mutual information; Networks; Information loss; Information theory; Optimization;All these keywords.
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