Open Access

Choosing a Clustering: An A Posteriori Method for Social Networks


Cite

Bezdek, James C., Robert Ehrlich, and William Full (1984). “FCM: The Fuzzy C-Means Algorithm.” Computers & Geosciences 10, 2-3: 191-203.Search in Google Scholar

Buja, Andreas, Deborah F. Swayne, Michael L. Littman, Nathaniel Dean, Heike Hofmann, and Lisha Chen (2008). “Data Visualization With Multidimensional Scaling.” Journal of Computational and Graphical Statistics, 17, 2: 333-372.10.1198/106186008X318440Search in Google Scholar

Carter T. Butts <buttsc@uci.edu> (2010). sna: Tools for Social Network Analysis. R package version 2.2-0. http://CRAN.R-project.org/package=snaSearch in Google Scholar

Cao, Tru Hoang, Hai T. Do, Dung T. Hong, and Thanh Tho Quan (2008). “Fuzzy Named Entity-Based Document Clustering.” In Fuzzy Systems, 2008. FUZZ-IEEE 2008.(IEEE World Congress on Computational Intelligence). IEEE International Conference on, pp. 2028-2034.10.1109/FUZZY.2008.4630648Search in Google Scholar

Clauset, A., M. E. J. Newman, and C. Moore (2004). “Finding Community Structure In Very Large Networks.” Phys. Rev. E 70, 066111. arXiv:cond-mat/0408187v210.1103/PhysRevE.70.066111Search in Google Scholar

Dimitriadou, Evgenia, Kurt Hornik, Friedrich Leish, David Meyer, and Andreas Weingessel (2011). e1071: Misc Functions of the Department Of Statistics. TU Wien. R package version 1.6. http://cran.r-project.org/web/packages/e1071Search in Google Scholar

Fortunato, S. (2010). “Community Detection in Graphs.” Physics Reports 486: 75-174. arXiv:0906.0612v210.1016/j.physrep.2009.11.002Search in Google Scholar

Fritsch, Arno (2009). mcclust: Process an MCMC Sample of Clusterings. R package version 1.0. http://CRAN.R-project.org/package=mcclustSearch in Google Scholar

Fruchterman, T. M. J., and Reingold, E. M. (1991). “Graph Drawing by Force-directed Placement.” Software: Practice and Experience 21, 11: 1129-1164.Search in Google Scholar

Gest, Scott D., James Moody, and Kelly L. Rulison (2007). “Density or Distinction? The Roles of Data Structure and Group Detection Methods in Describing Adolescent Peer Groups.” Journal of SocialStructure 8, 1. http://www.cmu.edu/joss/content/articles/volume8/GestMoody/Search in Google Scholar

Goldberg, Mark K., Mykola Hayvanovych, and Malik Magdon-Ismail (2010). “Measuring Similarity Between Sets of Overlapping Clusters.” In Social Computing (SocialCom), 2010 IEEE Second International Conference on, pp. 303-308.10.1109/SocialCom.2010.50Search in Google Scholar

Goodman, Leo A., and William H. Kruskal (1954). “Measures of Association for Cross Classifications.” Journal of the American Statistical Association 49, 268: 732-764.Search in Google Scholar

Gordon, A. D. (1999). Classification. 2nd ed. (Boca Raton: Chapman & Hall).10.1201/9780367805302Search in Google Scholar

Grimmer, J., and G. King (2011). “General Purpose Computer-Assisted Clustering and Conceptualization.” PNAS 108, 7: 2643-2650.10.1073/pnas.1018067108Search in Google Scholar

Handcock, M. S., A. E. Raftery, and J. M. Tantrum (2007). “Model-Based Clustering for Social Networks.” J. R. Statist. Soc. A 170, Part 2: 301–354. See Discussion on the Paper (Krackhardt), 341.Search in Google Scholar

Hennig, Christian <chrish@stats.ucl.ac.uk>, and Bernhard Hausdorf <Hausdorf@zoologie.uni-hamburg.de> (2010). prabclus: Functions for clustering of presence-absence, abundance and multilocus genetic data. R package version 2.2-2. http://CRAN.R-project.org/package=prabclusSearch in Google Scholar

Hennig, Christian (2013). fpc: Flexible procedures for clustering. R package version 2.1-5. http://CRAN.R-project.org/package=fpcSearch in Google Scholar

Kaufman, L., and P. J. Rousseeuw (1987). “Clustering by Means of Medoids.” In Y. Dodge, ed. Statistical Data Analysis Based on the L1-Norm (North Holland: Elsevier), 405-416.Search in Google Scholar

Krishnapuram, Raghu, and James M. Keller (1993). “A Possibilistic Approach to Clustering.” IEEE Transactions on Fuzzy Systems 1, 2: 98-110.10.1109/91.227387Search in Google Scholar

Lancichinetti, Andrea, Santo Fortunato, and János Kertész (2009). “Detecting the Overlapping and Hierarchical Community Structure in Complex Networks.” New Journal of Physics 11, 3: 033015.Search in Google Scholar

McFarland, Daniel, Solomon Messing, Mike Nowak, and Sean Westwood (2010). “Social Network Analysis Labs in R.” Stanford University.Search in Google Scholar

McQuitty, Louis L. (1966). “Similarity Analysis by Reciprocal Pairs for Discrete and Continuous Data.” Educational and Psychological Measurement 26: 825-831.Search in Google Scholar

Meila, M. (2007) “Comparing Clusterings: An Information Based Distance.” Journal of MultivariateAnalysis 98, 5: 873-895. http://www.stat.washington.edu/mmp/Papers/compare-jmva-revised.pdf10.1016/j.jmva.2006.11.013Search in Google Scholar

Milligan, Glenn W., and Martha C. Cooper (1985). “An Examination of Procedures for Determining the Number of Clusters in a Data Set.” Psychometrika 50, 2: 159-179.10.1007/BF02294245Search in Google Scholar

Newman, M., and M. Girvan (2004). “Finding and Evaluating Community Structure in Networks.” Physical Review E 69, 026113. http://pre.aps.org/abstract/PRE/v69/i2/e02611310.1103/PhysRevE.69.026113Search in Google Scholar

Newman, M. E. J. (2006). “Finding Community Structure Using the Eigenvectors of Matrices.” Physical Review E 74, 036104. arXiv:physics/0605087v310.1103/PhysRevE.74.036104Search in Google Scholar

Ovelgönne, Michael, and Andreas Geyer-Schulz (2012). “An Ensemble Learning Strategy for Graph Clustering.” In Graph Partitioning and Graph Clustering, 187-206.Search in Google Scholar

Pons, P., and M. Latapy (2005). “Computing Communities in Large Networks Using Random Walks.” Lect. Notes Comput. Sci. 3733, 284293. http://arxiv.org/pdf/physics/0512106v1.pdf10.1007/11569596_31Search in Google Scholar

Sammon, J. W. (1969). “A Non-Linear Mapping for Data Structure Analysis.” IEEE Transactions on Computers C-18, 5: 401–409.Search in Google Scholar

SAS Institute (1990). “Introduction to Clustering Procedures” and “The CLUSTER Procedure.” Chapter 6 in SAS/STAT User’s Guide, Volume 1 (Cary, NC: SAS Institute Inc.), 53-101.Search in Google Scholar

Satu, Elisa Schaeffer (2007). “Graph Clustering.” Computer Science Review 1, 1: 27-64.10.1016/j.cosrev.2007.05.001Search in Google Scholar

Scott, J. (2000). Social Network Analysis: A Handbook. 2nd edition (Thousand Oaks, CA: Sage Publications).Search in Google Scholar

Shepard, R. (1962). “The Analysis of Proximities: Multidimensional Scaling with an Unknown Distance Function, I & II.” Psychometrika 27: 125-140, 219-246.10.1007/BF02289621Search in Google Scholar

Venables, W. N. and Ripley, B. D. (2002). Modern Applied Statistics with S. 4th edition (New York: Springer).10.1007/978-0-387-21706-2Search in Google Scholar

Ward Jr., Joe H. (1963). “Hierarchical Grouping to Optimize an Objective Function.” Journal of the American Statistical Association 38, 301: 236-44.10.1080/01621459.1963.10500845Search in Google Scholar

Wickham, Hadley (2011). “The Split-Apply-Combine Strategy for Data Analysis.” Journal of Statistical Software 40, 1: 1-29. http://www.jstatsoft.org/v40/i01/10.18637/jss.v040.i01Search in Google Scholar

Wild, Fridolin (2011). lsa: Latent Semantic Analysis. R package version 0.63-3. http://CRAN.R-project.org/package=lsaSearch in Google Scholar

Zachary, W. W. (1977). “An Information Flow Model for Conflict and Fission in Small Groups.” Journal of Anthropological Research 33: 452-473. 1 Handcock, M. S., A. E. Raftery, J. M. Tantrum (2007). “Model-based Clustering for Social Networks.” J.R. Statist. Soc. A 170, Part 2: 301–354. See Discussion on the Paper (Krackhardt), 341.Search in Google Scholar

eISSN:
1529-1227
Language:
English
Publication timeframe:
Volume Open
Journal Subjects:
Social Sciences, other