Communities validity: methodical evaluation of community mining algorithms

[1]  V. Batagelj,et al.  Exploratory Social Network Analysis with Pajek: Revised and Expanded Edition for Updated Software , 2018 .

[2]  M. Cugmas,et al.  On comparing partitions , 2015 .

[3]  Tetsuya Yoshida Weighted line graphs for overlapping community discovery , 2013, Social Network Analysis and Mining.

[4]  Guy Melançon,et al.  Model for generating artificial social networks having community structures with small-world and scale-free properties , 2013, Social Network Analysis and Mining.

[5]  Ricardo J. G. B. Campello,et al.  Relative Validity Criteria for Community Mining Algorithms , 2012, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.

[6]  Santo Fortunato,et al.  Consensus clustering in complex networks , 2012, Scientific Reports.

[7]  Ignacio Marín,et al.  Closed benchmarks for network community structure characterization , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

[8]  Bradley S. Rees,et al.  Overlapping community detection using a community optimized graph swarm , 2012, Social Network Analysis and Mining.

[9]  Young-Rae Cho,et al.  Entropy-Based Graph Clustering: Application to Biological and Social Networks , 2011, 2011 IEEE 11th International Conference on Data Mining.

[10]  Osmar R. Zaïane,et al.  A Diffusion of Innovation-Based Closeness Measure for Network Associations , 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

[11]  Malay K. Pakhira,et al.  Computing approximate value of the pbm index for counting number of clusters using genetic algorithm , 2011, 2011 International Conference on Recent Trends in Information Systems.

[12]  Hocine Cherifi,et al.  Qualitative Comparison of Community Detection Algorithms , 2011, DICTAP.

[13]  Steve Gregory Fuzzy overlapping communities in networks , 2011 .

[14]  Günce Keziban Orman,et al.  The Effect of Network Realism on Community Detection Algorithms , 2010, 2010 International Conference on Advances in Social Networks Analysis and Mining.

[15]  Ricardo J. G. B. Campello,et al.  Relative clustering validity criteria: A comparative overview , 2010, Stat. Anal. Data Min..

[16]  Ricardo J. G. B. Campello,et al.  Generalized external indexes for comparing data partitions with overlapping categories , 2010, Pattern Recognit. Lett..

[17]  Mason A. Porter,et al.  Taxonomies of networks from community structure. , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.

[18]  Mark Newman,et al.  Networks: An Introduction , 2010 .

[19]  Jure Leskovec,et al.  Empirical comparison of algorithms for network community detection , 2010, WWW '10.

[20]  Christopher D. Manning,et al.  Introduction to Information Retrieval , 2010, J. Assoc. Inf. Sci. Technol..

[21]  James Bailey,et al.  Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance , 2010, J. Mach. Learn. Res..

[22]  Andrea Lancichinetti,et al.  Community detection algorithms: a comparative analysis: invited presentation, extended abstract , 2009, VALUETOOLS.

[23]  Hui Xiong,et al.  Adapting the right measures for K-means clustering , 2009, KDD.

[24]  Randy Goebel,et al.  Detecting Communities in Large Networks by Iterative Local Expansion , 2009, 2009 International Conference on Computational Aspects of Social Networks.

[25]  James Bailey,et al.  Information theoretic measures for clusterings comparison: is a correction for chance necessary? , 2009, ICML '09.

[26]  Santo Fortunato,et al.  Community detection in graphs , 2009, ArXiv.

[27]  Mason A. Porter,et al.  Communities in Networks , 2009, ArXiv.

[28]  F. Radicchi,et al.  Benchmark graphs for testing community detection algorithms. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

[29]  Andrea Lancichinetti,et al.  Detecting the overlapping and hierarchical community structure in complex networks , 2008, 0802.1218.

[30]  Martin Rosvall,et al.  Maps of random walks on complex networks reveal community structure , 2007, Proceedings of the National Academy of Sciences.

[31]  M. Meilă Comparing clusterings---an information based distance , 2007 .

[32]  Feng Luo,et al.  Exploring Local Community Structures in Large Networks , 2006, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06).

[33]  Carl T. Bergstrom,et al.  An information-theoretic framework for resolving community structure in complex networks , 2006, Proceedings of the National Academy of Sciences.

[34]  Ricardo J. G. B. Campello,et al.  A fuzzy extension of the silhouette width criterion for cluster analysis , 2006, Fuzzy Sets Syst..

[35]  Ahmed Albatineh,et al.  On Similarity Indices and Correction for Chance Agreement , 2006, J. Classif..

[36]  S. Fortunato,et al.  Resolution limit in community detection , 2006, Proceedings of the National Academy of Sciences.

[37]  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.

[38]  M. Gustafsson,et al.  Comparison and validation of community structures in complex networks , 2006, physics/0601057.

[39]  Christos Faloutsos,et al.  Graphs over time: densification laws, shrinking diameters and possible explanations , 2005, KDD '05.

[40]  T. Vicsek,et al.  Uncovering the overlapping community structure of complex networks in nature and society , 2005, Nature.

[41]  Leon Danon,et al.  Comparing community structure identification , 2005, cond-mat/0505245.

[42]  A. Clauset Finding local community structure in networks. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[43]  M. Newman,et al.  Finding and evaluating community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[44]  Joydeep Ghosh,et al.  Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions , 2002, J. Mach. Learn. Res..

[45]  A. Barabasi,et al.  Hierarchical Organization of Modularity in Metabolic Networks , 2002, Science.

[46]  M E J Newman,et al.  Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[47]  Michalis Vazirgiannis,et al.  On Clustering Validation Techniques , 2001, Journal of Intelligent Information Systems.

[48]  V. J. Rayward-Smith,et al.  Fuzzy Cluster Analysis: Methods for Classification, Data Analysis and Image Recognition , 1999 .

[49]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.

[50]  L. Collins,et al.  Omega: A General Formulation of the Rand Index of Cluster Recovery Suitable for Non-disjoint Solutions. , 1988, Multivariate behavioral research.

[51]  P. Rousseeuw Silhouettes: a graphical aid to the interpretation and validation of cluster analysis , 1987 .

[52]  James C. Bezdek,et al.  Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.

[53]  Donald W. Bouldin,et al.  A Cluster Separation Measure , 1979, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[54]  W. Zachary,et al.  An Information Flow Model for Conflict and Fission in Small Groups , 1977, Journal of Anthropological Research.

[55]  L. Hubert,et al.  A general statistical framework for assessing categorical clustering in free recall. , 1976 .

[56]  E. C. Dalrymple-Alford Measurement of clustering in free recall. , 1970 .

[57]  Osmar R. Zaïane,et al.  Top Leaders Community Detection Approach in Information Networks , 2010 .

[58]  Randy Goebel,et al.  Detecting Communities in Social Networks Using Max-Min Modularity , 2009, SDM.

[59]  Sergios Theodoridis,et al.  Chapter 16 – Cluster Validity , 2006 .

[60]  André Hardy,et al.  An examination of procedures for determining the number of clusters in a data set , 1994 .

[61]  R. Carter 11 – IT and society , 1991 .

[62]  T. Caliński,et al.  A dendrite method for cluster analysis , 1974 .

[63]  J. Dunn Well-Separated Clusters and Optimal Fuzzy Partitions , 1974 .