Relative Validity Criteria for Community Mining Algorithms
暂无分享,去创建一个
Ricardo J. G. B. Campello | Osmar R. Zaïane | Mansoureh Takaffoli | Reihaneh Rabbany | Justin Fagnan | Osmar R Zaiane | Reihaneh Rabbany | Justin Fagnan | M. Takaffoli | R. Campello
[1] Przemyslaw Kazienko,et al. Key Person Analysis in Social Communities within the Blogosphere , 2012, J. Univers. Comput. Sci..
[2] Donald W. Bouldin,et al. A Cluster Separation Measure , 1979, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Ward S. Mason,et al. Explorations in role analysis : studies of the school superintendency role , 1958 .
[4] Martin J. Dürst,et al. Internationalized Resource Identifiers (IRIs) , 2005, RFC.
[5] Saul Vargas,et al. Rank and relevance in novelty and diversity metrics for recommender systems , 2011, RecSys '11.
[6] Thorsten Joachims,et al. Identifying Temporal Patterns and Key Players in Document Collections , 1995 .
[7] Edoardo M. Airoldi,et al. Mixed Membership Stochastic Blockmodels , 2007, NIPS.
[8] J. Goldenberg,et al. The Role of Hubs in the Adoption Process , 2009 .
[9] Tarald O. Kvålseth,et al. Entropy and Correlation: Some Comments , 1987, IEEE Transactions on Systems, Man, and Cybernetics.
[10] Avi Pfeffer,et al. Probabilistic Frame-Based Systems , 1998, AAAI/IAAI.
[11] Ben Taskar,et al. Discriminative Probabilistic Models for Relational Data , 2002, UAI.
[12] Michael Kifer,et al. Logical foundations of object-oriented and frame-based languages , 1995, JACM.
[13] James Bailey,et al. Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance , 2010, J. Mach. Learn. Res..
[14] Linton C. Freeman,et al. Uncovering Organizational Hierarchies , 1997, Comput. Math. Organ. Theory.
[15] Andrew McCallum,et al. Topic and Role Discovery in Social Networks , 2005, IJCAI.
[16] Vladimir Batagelj,et al. Exploratory Social Network Analysis with Pajek , 2005 .
[17] J. A. Barnes. Class and Committees in a Norwegian Island Parish , 1954 .
[18] Barry Smyth,et al. Recommendation to Groups , 2007, The Adaptive Web.
[19] Pang-Ning Tan,et al. Exploration of Link Structure and Community-Based Node Roles in Network Analysis , 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).
[20] David L. Hicks,et al. Detecting Hidden Hierarchy in Terrorist Networks: Some Case Studies , 2008, ISI Workshops.
[21] Leon Danon,et al. Comparing community structure identification , 2005, cond-mat/0505245.
[22] Barry Smyth,et al. Case-based recommender systems , 2005, The Knowledge Engineering Review.
[23] Wei Chu,et al. Stochastic Relational Models for Discriminative Link Prediction , 2006, NIPS.
[24] Yehuda Koren,et al. Advances in Collaborative Filtering , 2011, Recommender Systems Handbook.
[25] Benno Stein,et al. A Wikipedia-Based Multilingual Retrieval Model , 2008, ECIR.
[26] Cédric Bernier,et al. Analysis of Strategies for Building Group Profiles , 2010, UMAP.
[27] Caroline Haythornthwaite,et al. Studying Online Social Networks , 2006, J. Comput. Mediat. Commun..
[28] T. Caliński,et al. A dendrite method for cluster analysis , 1974 .
[29] Vítor Santos Costa,et al. Inductive Logic Programming , 2013, Lecture Notes in Computer Science.
[30] Yehuda Koren,et al. Adaptive bootstrapping of recommender systems using decision trees , 2011, WSDM '11.
[31] Andrew W. Moore,et al. Scalable graphical models for social networks , 2007 .
[32] H E Stanley,et al. Classes of small-world networks. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[33] A RossKenneth,et al. The well-founded semantics for general logic programs , 1991 .
[34] T. Vicsek,et al. Uncovering the overlapping community structure of complex networks in nature and society , 2005, Nature.
[35] not Cwi,et al. CURIE Syntax 1.0, A syntax for expressing Compact URIs , 2007 .
[36] Fernanda B. Viégas,et al. Newsgroup Crowds and AuthorLines: visualizing the activity of individuals in conversational cyberspaces , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.
[37] 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.
[38] Yiming Yang,et al. Personalized active learning for collaborative filtering , 2008, SIGIR '08.
[39] Michael Kifer,et al. Rule Interchange Format: The Framework , 2008, RuleML.
[40] Randy Goebel,et al. Detecting Communities in Large Networks by Iterative Local Expansion , 2009, 2009 International Conference on Computational Aspects of Social Networks.
[41] Francesco Ricci,et al. Optimal radio channel recommendations with explicit and implicit feedback , 2012, RecSys.
[42] Hans-Peter Kriegel,et al. Infinite Hidden Relational Models , 2006, UAI.
[43] Wei Chen,et al. Scalable influence maximization for prevalent viral marketing in large-scale social networks , 2010, KDD.
[44] Osmar R. Zaïane,et al. Top Leaders Community Detection Approach in Information Networks , 2010 .
[45] L. Freeman,et al. On human social intelligence , 1988 .
[46] Rajeev Motwani,et al. The PageRank Citation Ranking : Bringing Order to the Web , 1999, WWW 1999.
[47] 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.
[48] P. D. Laat. The collegial phenomenon. The social mechanisms of cooperation among peers in a corporate law partnership , 2003 .
[49] Jie Tang,et al. Learning to Infer Social Ties in Large Networks , 2011, ECML/PKDD.
[50] Tanya Y. Berger-Wolf,et al. Inferring the Maximum Likelihood Hierarchy in Social Networks , 2009, 2009 International Conference on Computational Science and Engineering.
[51] Ben Taskar,et al. Inductive Logic Programming in a Nutshell , 2007 .
[52] W. Zachary,et al. An Information Flow Model for Conflict and Fission in Small Groups , 1977, Journal of Anthropological Research.
[53] Neil J. Hurley,et al. Robust Collaborative Recommendation , 2011, Recommender Systems Handbook.
[54] Evgeniy Gabrilovich,et al. Computing Semantic Relatedness Using Wikipedia-based Explicit Semantic Analysis , 2007, IJCAI.
[55] Gerhard Weikum,et al. WWW 2007 / Track: Semantic Web Session: Ontologies ABSTRACT YAGO: A Core of Semantic Knowledge , 2022 .
[56] R. Hanneman. Introduction to Social Network Methods , 2001 .
[57] Dan Cosley,et al. Finding social roles in Wikipedia , 2011, iConference.
[58] Dan Cosley,et al. Inferring social ties from geographic coincidences , 2010, Proceedings of the National Academy of Sciences.
[59] Katarzyna Musial,et al. Social networks on the Internet , 2012, World Wide Web.
[60] B. Biddle. RECENT DEVELOPMENTS IN ROLE THEORY , 1986 .
[61] Gediminas Adomavicius,et al. Context-aware recommender systems , 2008, RecSys '08.
[62] Martin Rosvall,et al. Maps of random walks on complex networks reveal community structure , 2007, Proceedings of the National Academy of Sciences.
[63] Connie M. Borror,et al. A Second Course in Statistics: Regression Analysis, 6th Ed. , 2003 .
[64] Stephen E. Robertson,et al. Relevance weighting of search terms , 1976, J. Am. Soc. Inf. Sci..
[65] Terri L. Moore,et al. Regression Analysis by Example , 2001, Technometrics.
[66] Pasquale Lops,et al. Content-based Recommender Systems: State of the Art and Trends , 2011, Recommender Systems Handbook.
[67] Kristian Kersting,et al. Multi-Relational Learning with Gaussian Processes , 2009, IJCAI.
[68] J. Ross Quinlan,et al. Learning logical definitions from relations , 1990, Machine Learning.
[69] Thomas L. Griffiths,et al. Learning Systems of Concepts with an Infinite Relational Model , 2006, AAAI.
[70] Hocine Cherifi,et al. Qualitative Comparison of Community Detection Algorithms , 2011, DICTAP.
[71] Martin Rosvall,et al. An information-theoretic framework for resolving community structure in complex networks , 2007, Proceedings of the National Academy of Sciences.
[72] Andreas Hotho,et al. Social Tagging Recommender Systems , 2011, Recommender Systems Handbook.
[73] Achim Rettinger,et al. A statistical relational model for trust learning , 2008, AAMAS.
[74] Yifei Yuan,et al. Scalable Influence Maximization in Social Networks under the Linear Threshold Model , 2010, 2010 IEEE International Conference on Data Mining.
[75] 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).
[76] Lise Getoor,et al. Relationship Identification for Social Network Discovery , 2007, AAAI.
[77] Andreas Dengel,et al. Core/periphery structure versus clustering in international weblogs , 2011, 2011 International Conference on Computational Aspects of Social Networks (CASoN).
[78] Gediminas Adomavicius,et al. Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques , 2012, IEEE Transactions on Knowledge and Data Engineering.
[79] Alfred Kobsa,et al. Privacy-enhanced personalization , 2006, FLAIRS.
[80] Sanford Weisberg,et al. An R Companion to Applied Regression , 2010 .
[81] David Lazer,et al. Inferring friendship network structure by using mobile phone data , 2009, Proceedings of the National Academy of Sciences.
[82] Santo Fortunato,et al. Community detection in graphs , 2009, ArXiv.
[83] Xiang Li,et al. Learning Hierarchical Relationships among Partially Ordered Objects with Heterogeneous Attributes and Links , 2012, SDM.
[84] Jie Tang,et al. Detecting Community Kernels in Large Social Networks , 2011, 2011 IEEE 11th International Conference on Data Mining.
[85] David Heckerman,et al. Probabilistic Entity-Relationship Models, PRMs, and Plate Models , 2004 .
[86] J. Berry. The Influentials: One American in Ten Tells the Other Nine How to Vote, Where to Eat, and What to Buy , 2003 .
[87] Nick Koudas,et al. Efficient identification of starters and followers in social media , 2009, EDBT '09.
[88] Gediminas Adomavicius,et al. Incorporating contextual information in recommender systems using a multidimensional approach , 2005, TOIS.
[89] S. Fortunato,et al. Resolution limit in community detection , 2006, Proceedings of the National Academy of Sciences.
[90] Ricardo J. G. B. Campello,et al. Improving the Efficiency of a Clustering Genetic Algorithm , 2004, IBERAMIA.
[91] John Riedl,et al. Recommender systems: from algorithms to user experience , 2012, User Modeling and User-Adapted Interaction.
[92] Kennon M. Sheldon,et al. Social roles as mechanisms for psychological need satisfaction within social groups. , 2001, Journal of personality and social psychology.
[93] Marcelo Maia,et al. Identifying user behavior in online social networks , 2008, SocialNets '08.
[94] Charles L. Forgy,et al. Rete: a fast algorithm for the many pattern/many object pattern match problem , 1991 .
[95] Joseph Hilbe,et al. Data Analysis Using Regression and Multilevel/Hierarchical Models , 2009 .
[96] Lise Getoor,et al. Learning Probabilistic Relational Models , 1999, IJCAI.
[97] Bill Howard,et al. Analyzing online social networks , 2008, Commun. ACM.
[98] 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.
[99] Katarzyna Musial,et al. Recommendation Framework for Online Social Networks , 2006, Advances in Web Intelligence and Data Mining.
[100] Douglas B. Terry,et al. Using collaborative filtering to weave an information tapestry , 1992, CACM.
[101] Ruoming Jin,et al. Axiomatic ranking of network role similarity , 2011, KDD.
[102] Stephan Baumann,et al. A Journey to the Core of the Blogosphere , 2009, 2009 International Conference on Advances in Social Network Analysis and Mining.
[103] George Karypis,et al. A Comprehensive Survey of Neighborhood-based Recommendation Methods , 2011, Recommender Systems Handbook.
[104] John Riedl,et al. GroupLens: an open architecture for collaborative filtering of netnews , 1994, CSCW '94.
[105] Richard A. Harshman,et al. Indexing by Latent Semantic Analysis , 1990, J. Am. Soc. Inf. Sci..
[106] Bernd Ludwig,et al. Context relevance assessment and exploitation in mobile recommender systems , 2012, Personal and Ubiquitous Computing.
[107] J. Golbeck,et al. FilmTrust: movie recommendations using trust in web-based social networks , 2006, CCNC 2006. 2006 3rd IEEE Consumer Communications and Networking Conference, 2006..
[108] Jon M. Kleinberg,et al. The link-prediction problem for social networks , 2007, J. Assoc. Inf. Sci. Technol..
[109] S. Robertson. The probability ranking principle in IR , 1997 .
[110] Mika Gustafsson,et al. Comparison and validation of community structures in complex networks , 2006 .
[111] Ben Shneiderman,et al. Visualizing Threaded Conversation Networks: Mining Message Boards and Email Lists for Actionable Insights , 2010, AMT.
[112] Barry Smyth,et al. Similarity vs. Diversity , 2001, ICCBR.
[113] Gediminas Adomavicius,et al. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions , 2005, IEEE Transactions on Knowledge and Data Engineering.
[114] John Riedl,et al. Learning preferences of new users in recommender systems: an information theoretic approach , 2008, SKDD.
[115] David Maxwell Chickering,et al. Dependency Networks for Inference, Collaborative Filtering, and Data Visualization , 2000, J. Mach. Learn. Res..
[116] Michael J. Muller,et al. Motivations for social networking at work , 2008, CSCW.
[117] Marc A. Smith,et al. A Conceptual and Operational Definition of 'Social Role' in Online Community , 2009, 2009 42nd Hawaii International Conference on System Sciences.
[118] Jure Leskovec,et al. Predicting positive and negative links in online social networks , 2010, WWW '10.
[119] Ben Taskar,et al. Markov Logic: A Unifying Framework for Statistical Relational Learning , 2007 .
[120] R. H. Moore,et al. Regression Graphics: Ideas for Studying Regressions Through Graphics , 1998, Technometrics.
[121] F. Radicchi,et al. Benchmark graphs for testing community detection algorithms. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.
[122] Danyel Fisher,et al. Visualizing the Signatures of Social Roles in Online Discussion Groups , 2007, J. Soc. Struct..
[123] Krishna P. Gummadi,et al. Measuring User Influence in Twitter: The Million Follower Fallacy , 2010, ICWSM.
[124] Volker Tresp,et al. Nonlinear Markov Networks for Continuous Variables , 1997, NIPS.
[125] M. Newman,et al. The structure of scientific collaboration networks. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[126] Francesco Ricci,et al. Mobile Recommender Systems , 2010, J. Inf. Technol. Tour..
[127] M. Pagel,et al. Social networks: we get by with (and in spite of) a little help from our friends. , 1987, Journal of personality and social psychology.
[128] Andrea Lancichinetti,et al. Community detection algorithms: a comparative analysis: invited presentation, extended abstract , 2009, VALUETOOLS.
[129] Tsvi Kuflik,et al. Mediation of user models for enhanced personalization in recommender systems , 2007, User Modeling and User-Adapted Interaction.
[130] Guy Shani,et al. An MDP-Based Recommender System , 2002, J. Mach. Learn. Res..
[131] Rasoul Karimi,et al. Active Learning for Recommender Systems , 2015, KI - Künstliche Intelligenz.
[132] P. Rousseeuw. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis , 1987 .
[133] T. Sparks,et al. Understanding Regression Analysis: An Introductory Guide Quantitative Applications in the Social Sciences No. 57 , 1987 .
[134] Shlomo Hershkop,et al. Automated social hierarchy detection through email network analysis , 2007, WebKDD/SNA-KDD '07.
[135] Danai Koutra,et al. RolX: structural role extraction & mining in large graphs , 2012, KDD.
[136] P. Jaccard,et al. Etude comparative de la distribution florale dans une portion des Alpes et des Jura , 1901 .
[137] Jeremy J. Carroll,et al. Resource description framework (rdf) concepts and abstract syntax , 2003 .
[138] Xin Jin,et al. Topic initiator detection on the world wide web , 2010, WWW '10.
[139] J. Stanton. Galton, Pearson, and the Peas: A Brief History of Linear Regression for Statistics Instructors , 2001 .
[140] Martin G. Everett,et al. Role similarity and complexity in social networks , 1985 .
[141] Ricardo J. G. B. Campello,et al. Relative clustering validity criteria: A comparative overview , 2010, Stat. Anal. Data Min..
[142] Danyel Fisher,et al. You Are Who You Talk To: Detecting Roles in Usenet Newsgroups , 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).
[143] Scott A. Golder,et al. SOCIAL ROLES IN ELECTRONIC COMMUNITIES , 2004 .
[144] Enric Plaza,et al. Case-Based Sequential Ordering of Songs for Playlist Recommendation , 2006, ECCBR.
[145] V. Cattell. Poor people, poor places, and poor health: the mediating role of social networks and social capital. , 2001, Social science & medicine.
[146] Stephen E. Robertson,et al. Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval , 1994, SIGIR '94.
[147] Jennifer Neville,et al. Dependency networks for relational data , 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).
[148] Hans-Peter Kriegel,et al. Factorizing YAGO: scalable machine learning for linked data , 2012, WWW.
[149] E. C. Dalrymple-Alford. Measurement of clustering in free recall. , 1970 .
[150] Vincent T. Y. Ng,et al. Identifying influential users by their postings in social networks , 2012, MSM '12.
[151] J. Brian Gray,et al. Applied Regression Including Computing and Graphics , 1999, Technometrics.
[152] M E J Newman,et al. Finding and evaluating community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[153] Christos Faloutsos,et al. Graphs over time: densification laws, shrinking diameters and possible explanations , 2005, KDD '05.
[154] Hans-Peter Kriegel,et al. A Three-Way Model for Collective Learning on Multi-Relational Data , 2011, ICML.
[155] Jiawei Han,et al. Mining advisor-advisee relationships from research publication networks , 2010, KDD.
[156] Reza Zafarani,et al. Analyzing Behavior of the Influentials Across Social Media , 2012 .
[157] 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.
[158] Jennifer Golbeck,et al. Generating Predictive Movie Recommendations from Trust in Social Networks , 2006, iTrust.
[159] Randy Goebel,et al. Detecting Communities in Social Networks Using Max-Min Modularity , 2009, SDM.
[160] J. Montgomery. Social Networks and Labor-Market Outcomes: Toward an Economic Analysis , 1991 .
[161] G. W. Milligan,et al. An examination of procedures for determining the number of clusters in a data set , 1985 .
[162] James A. Davis. Clustering and Structural Balance in Graphs , 1977 .
[163] Young-Rae Cho,et al. Entropy-Based Graph Clustering: Application to Biological and Social Networks , 2011, 2011 IEEE 11th International Conference on Data Mining.
[164] Lorraine McGinty,et al. On the Evolution of Critiquing Recommenders , 2011, Recommender Systems Handbook.
[165] Francesco Ricci,et al. Rating Elicitation Strategies for Collaborative Filtering , 2011, EC-Web.
[166] Judith Masthoff,et al. Group Recommender Systems: Combining Individual Models , 2011, Recommender Systems Handbook.
[167] Lisa Kaati,et al. Social positions and simulation relations , 2011, Social Network Analysis and Mining.
[168] H. White,et al. “Structural Equivalence of Individuals in Social Networks” , 2022, The SAGE Encyclopedia of Research Design.
[169] Nava Tintarev,et al. Evaluating the effectiveness of explanations for recommender systems , 2012, User Modeling and User-Adapted Interaction.
[170] André Hardy,et al. An examination of procedures for determining the number of clusters in a data set , 1994 .
[171] Ricardo J. G. B. Campello,et al. Evolving clusters in gene-expression data , 2006, Inf. Sci..
[172] Francesco Ricci,et al. Improving Recommendation Effectiveness: Adapting a Dialogue Strategy in Online Travel Planning , 2009, J. Inf. Technol. Tour..
[173] Mark Newman,et al. Networks: An Introduction , 2010 .
[174] Stanley Wasserman,et al. Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.
[175] Robin D. Burke,et al. Hybrid Web Recommender Systems , 2007, The Adaptive Web.
[176] J. Dunn. Well-Separated Clusters and Optimal Fuzzy Partitions , 1974 .
[177] David Dominguez-Sal,et al. Building a role search engine for social media , 2012, WWW.
[178] L. Hubert,et al. A general statistical framework for assessing categorical clustering in free recall. , 1976 .
[179] Alfred Kobsa,et al. Generic User Modeling Systems , 2001, User Modeling and User-Adapted Interaction.
[180] Wan-Shiou Yang,et al. Mining Social Networks for Targeted Advertising , 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).
[181] Michael Kifer,et al. RIF Framework for Logic Dialects , 2009 .
[182] P. Allison. Multiple Regression: A Primer , 1994 .
[183] Lina Zhou,et al. Social computing and weighting to identify member roles in online communities , 2005, The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05).
[184] Ram Dantu,et al. Identification of leaders, lurkers, associates and spammers in a social network: context-dependent and context-independent approaches , 2011, Social Network Analysis and Mining.
[185] Garry Robins,et al. Small Worlds Among Interlocking Directors: Network Structure and Distance in Bipartite Graphs , 2004, Comput. Math. Organ. Theory.