Community Mining: from Discovery to Evaluation and Visualization
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[1] Xiaomin Zhu,et al. CDPM: Finding and Evaluating Community Structure in Social Networks , 2008, ADMA.
[2] Donald W. Bouldin,et al. A Cluster Separation Measure , 1979, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] F. Radicchi,et al. Benchmark graphs for testing community detection algorithms. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.
[4] Judd Harrison Michael,et al. Labor dispute reconciliation in a forest products manufacturing facility , 1997 .
[5] A. Clauset. Finding local community structure in networks. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.
[6] Catherine Plaisant,et al. The challenge of information visualization evaluation , 2004, AVI.
[7] David Harel,et al. Drawing graphs with non-uniform vertices , 2002, AVI '02.
[8] Chris North,et al. Toward measuring visualization insight , 2006, IEEE Computer Graphics and Applications.
[9] James C. Bezdek,et al. Some new indexes of cluster validity , 1998, IEEE Trans. Syst. Man Cybern. Part B.
[10] H. P. Friedman,et al. On Some Invariant Criteria for Grouping Data , 1967 .
[11] Andrea Lancichinetti,et al. Community detection algorithms: a comparative analysis: invited presentation, extended abstract , 2009, VALUETOOLS.
[12] Ricardo J. G. B. Campello,et al. Relative clustering validity criteria: A comparative overview , 2010 .
[13] Srinivasan Parthasarathy,et al. An event-based framework for characterizing the evolutionary behavior of interaction graphs , 2007, KDD '07.
[14] Danny Holten,et al. Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data , 2006, IEEE Transactions on Visualization and Computer Graphics.
[15] Randy Goebel,et al. Detecting Communities in Social Networks Using Max-Min Modularity , 2009, SDM.
[16] Yifan Hu,et al. Multilevel agglomerative edge bundling for visualizing large graphs , 2011, 2011 IEEE Pacific Visualization Symposium.
[17] G. W. Milligan,et al. An examination of procedures for determining the number of clusters in a data set , 1985 .
[18] Edward M. Reingold,et al. Graph drawing by force‐directed placement , 1991, Softw. Pract. Exp..
[19] P. Rousseeuw. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis , 1987 .
[20] M E J Newman,et al. Fast algorithm for detecting community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[21] Ujjwal Maulik,et al. Validity index for crisp and fuzzy clusters , 2004, Pattern Recognit..
[22] J. Dunn. Well-Separated Clusters and Optimal Fuzzy Partitions , 1974 .
[23] M. Newman,et al. Finding community structure in very large networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.
[24] Michael Balzer,et al. Level-of-detail visualization of clustered graph layouts , 2007, 2007 6th International Asia-Pacific Symposium on Visualization.
[25] Jure Leskovec,et al. Empirical comparison of algorithms for network community detection , 2010, WWW '10.
[26] Leonard M. Freeman,et al. A set of measures of centrality based upon betweenness , 1977 .
[27] Santo Fortunato,et al. Community detection in graphs , 2009, ArXiv.
[28] L. Hubert,et al. A general statistical framework for assessing categorical clustering in free recall. , 1976 .
[29] Peter J. Rousseeuw,et al. Finding Groups in Data: An Introduction to Cluster Analysis , 1990 .
[30] Feng Luo,et al. Exploring Local Community Structures in Large Networks , 2006, Web Intelligence.
[31] M E J Newman,et al. Modularity and community structure in networks. , 2006, Proceedings of the National Academy of Sciences of the United States of America.
[32] J. Anthonisse. The rush in a directed graph , 1971 .
[33] S. Fortunato,et al. Resolution limit in community detection , 2006, Proceedings of the National Academy of Sciences.
[34] Andrea Lancichinetti,et al. Benchmarks for testing community detection algorithms on directed and weighted graphs with overlapping communities. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.
[35] John A. Hartigan,et al. Clustering Algorithms , 1975 .
[36] T. Vicsek,et al. Uncovering the overlapping community structure of complex networks in nature and society , 2005, Nature.
[37] F. E. Grubbs. Procedures for Detecting Outlying Observations in Samples , 1969 .