Comparing Community Structure to Characteristics in Online Collegiate Social Networks
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[1] M. Newman,et al. Mixing Patterns and Community Structure in Networks , 2002, cond-mat/0210146.
[2] Alex Arenas,et al. Analysis of the structure of complex networks at different resolution levels , 2007, physics/0703218.
[3] 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.
[4] Mark E. J. Newman,et al. The Structure and Function of Complex Networks , 2003, SIAM Rev..
[5] Downloaded from , 1997 .
[6] T. Vicsek,et al. Uncovering the overlapping community structure of complex networks in nature and society , 2005, Nature.
[7] Richard J. Brook,et al. Agreement between observers when the categories are not specified in advance , 1984 .
[8] D. R. White,et al. Structural cohesion and embeddedness: A hierarchical concept of social groups , 2003 .
[9] Marco Gonzalez,et al. Tastes, ties, and time: A new social network dataset using Facebook.com , 2008, Soc. Networks.
[10] Amanda L. Traud,et al. Community Structure in Congressional Cosponsorship Networks , 2007, 0708.1191.
[11] U. Brandes,et al. Maximizing Modularity is hard , 2006, physics/0608255.
[12] Minas Gjoka,et al. Walking in Facebook: A Case Study of Unbiased Sampling of OSNs , 2010, 2010 Proceedings IEEE INFOCOM.
[13] Steven L. Puller,et al. The Old Boy (and Girl) Network: Social Network Formation on University Campuses , 2008 .
[14] Mark Newman,et al. Networks: An Introduction , 2010 .
[15] N. Mantel. The detection of disease clustering and a generalized regression approach. , 1967, Cancer research.
[16] S. Shen-Orr,et al. Network motifs: simple building blocks of complex networks. , 2002, Science.
[17] William M. Rand,et al. Objective Criteria for the Evaluation of Clustering Methods , 1971 .
[18] S.,et al. An Efficient Heuristic Procedure for Partitioning Graphs , 2022 .
[19] Robert L. Brennan,et al. MEASURING AGREEMENT WHEN TWO OBSERVERS CLASSIFY PEOPLE INTO CATEGORIES NOT DEFINED IN ADVANCE , 1974 .
[20] Bernardo A. Huberman,et al. Rhythms of social interaction: messaging within a massive online network , 2006, ArXiv.
[21] Jasmine Novak,et al. Geographic routing in social networks , 2005, Proc. Natl. Acad. Sci. USA.
[22] R. Burt. Structural Holes and Good Ideas1 , 2004, American Journal of Sociology.
[23] Edward M. Reingold,et al. Graph drawing by force‐directed placement , 1991, Softw. Pract. Exp..
[24] Michael Useem,et al. The Inner Circle: Large Corporations and the Rise of Business Political Activity in the U. S. and U.K. , 1986 .
[25] Sergey N. Dorogovtsev,et al. Critical phenomena in complex networks , 2007, ArXiv.
[26] Jesús A. De Loera,et al. Algebraic unimodular counting , 2001, Math. Program..
[27] P. Mucha,et al. The unreasonable effectiveness of tree-based theory for networks with clustering. , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.
[28] D. Wilkinson,et al. Social Network Collaborative Filtering , 2008 .
[29] S. C. Johnson. Hierarchical clustering schemes , 1967, Psychometrika.
[30] Albert-László Barabási,et al. Statistical mechanics of complex networks , 2001, ArXiv.
[31] Tad Hogg,et al. Friends and foes: ideological social networking , 2008, CHI.
[32] J. Reichardt,et al. Statistical mechanics of community detection. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.
[33] Garry Robins,et al. An introduction to exponential random graph (p*) models for social networks , 2007, Soc. Networks.
[34] Satoru Kawai,et al. An Algorithm for Drawing General Undirected Graphs , 1989, Inf. Process. Lett..
[35] M. Newman,et al. Finding community structure in networks using the eigenvectors of matrices. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.
[36] A. Clauset. Finding local community structure in networks. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.
[37] Andreas Noack,et al. Modularity clustering is force-directed layout , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.
[38] Radhika Gajjala,et al. Shifting Frames: Race, Ethnicity and Intercultural Communication in Online Social Networking and Virtual Work. , 2007 .
[39] M. Newman,et al. Random graphs with arbitrary degree distributions and their applications. , 2000, Physical review. E, Statistical, nonlinear, and soft matter physics.
[40] Tad Hogg,et al. Multiple Relationship Types in Online Communities and Social Networks , 2008, AAAI Spring Symposium: Social Information Processing.
[41] D. Boyd. Why Youth (Heart) Social Network Sites: The Role of Networked Publics in Teenage Social Life , 2007 .
[42] 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.
[43] Tom A. B. Snijders,et al. A comparison of various approaches to the exponential random graph model: A reanalysis of 102 student networks in school classes , 2007, Soc. Networks.
[44] Claudio Castellano,et al. Community Structure in Graphs , 2007, Encyclopedia of Complexity and Systems Science.
[45] Elena Kulisnkaya,et al. Large sample results for permutation tests of association , 1994 .
[46] Mason A. Porter,et al. A network analysis of committees in the United States House of Representatives , 2005, ArXiv.
[47] Danah Boyd,et al. Social network sites: definition, history, and scholarship , 2007, IEEE Engineering Management Review.
[48] Larissa Hiorth,et al. Being There and Being Here Gendered Customising of Mobile 3G Practices Through a Case Study in Seoul , 2005 .
[49] W. Zachary,et al. An Information Flow Model for Conflict and Fission in Small Groups , 1977, Journal of Anthropological Research.
[50] David Kempe,et al. Modularity-maximizing graph communities via mathematical programming , 2007, 0710.2533.
[51] Andrea Lancichinetti,et al. Detecting the overlapping and hierarchical community structure in complex networks , 2008, 0802.1218.
[52] Lawrence Hubert. Nominal scale response agreement as a generalized correlation , 1977 .
[53] C. Mallows,et al. A Method for Comparing Two Hierarchical Clusterings , 1983 .
[54] M E Newman,et al. Scientific collaboration networks. I. Network construction and fundamental results. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.
[55] M. Fiedler. Algebraic connectivity of graphs , 1973 .
[56] Alex Pothen,et al. PARTITIONING SPARSE MATRICES WITH EIGENVECTORS OF GRAPHS* , 1990 .
[57] Mason A. Porter,et al. Communities in Networks , 2009, ArXiv.
[58] Santo Fortunato,et al. Community detection in graphs , 2009, ArXiv.
[59] Jon M. Kleinberg,et al. Group formation in large social networks: membership, growth, and evolution , 2006, KDD '06.
[60] S. Fortunato,et al. Resolution limit in community detection , 2006, Proceedings of the National Academy of Sciences.
[61] Mason A. Porter,et al. Community Structure in the United States House of Representatives , 2007 .
[62] Ricardo J. G. B. Campello,et al. A fuzzy extension of the Rand index and other related indexes for clustering and classification assessment , 2007, Pattern Recognit. Lett..
[63] Erik M Bollt,et al. Local method for detecting communities. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.
[64] M. Meilă. Comparing clusterings---an information based distance , 2007 .
[65] Guido Caldarelli,et al. Scale-Free Networks , 2007 .
[66] S. Strogatz. Exploring complex networks , 2001, Nature.
[67] B EllisonNicole,et al. Social Network Sites , 2007 .
[68] Anil K. Jain,et al. Algorithms for Clustering Data , 1988 .
[69] Stanley Wasserman,et al. Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.
[70] L. Hubert,et al. Comparing partitions , 1985 .
[71] Roger Guimerà,et al. Team Assembly Mechanisms Determine Collaboration Network Structure and Team Performance , 2005, Science.
[72] Minas Gjoka,et al. A Walk in Facebook: Uniform Sampling of Users in Online Social Networks , 2009, ArXiv.
[73] M. Newman,et al. Hierarchical structure and the prediction of missing links in networks , 2008, Nature.
[74] Leon Danon,et al. Comparing community structure identification , 2005, cond-mat/0505245.
[75] Cliff Lampe,et al. A familiar face(book): profile elements as signals in an online social network , 2007, CHI.
[76] R. Guimerà,et al. Functional cartography of complex metabolic networks , 2005, Nature.
[77] A. Barabasi,et al. Hierarchical Organization of Modularity in Metabolic Networks , 2002, Science.
[78] P. Mucha,et al. Party Polarization in Congress: A Social Networks Approach , 2009 .
[79] P. Good. Permutation, Parametric, and Bootstrap Tests of Hypotheses , 2005 .
[80] T. Vicsek,et al. Community structure and ethnic preferences in school friendship networks , 2006, physics/0611268.
[81] M. Newman,et al. Robustness of community structure in networks. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.
[82] Ken P Kleinman,et al. Much Ado About Nothing , 2007, The American statistician.
[83] A-L Barabási,et al. Structure and tie strengths in mobile communication networks , 2006, Proceedings of the National Academy of Sciences.
[84] John Scott. What is social network analysis , 2010 .
[85] Mason A. Porter,et al. Random Walker Ranking for NCAA Division I-A Football , 2007, Am. Math. Mon..
[86] P. Mucha,et al. Party Polarization in Congress: A Social Networks Approach , 2009, 0907.3509.
[87] Roger Guimerà,et al. Extracting the hierarchical organization of complex systems , 2007, Proceedings of the National Academy of Sciences.
[88] Pamela R. Haunschild. Interorganizational imitation: The impact of interlocks on corporate acquisition activity , 1993 .