Like-minded communities: bringing the familiarity and similarity together
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A. A. Nanavati | Natwar Modani | K. Dey | Seema Nagar | Saurabh Goyal | Saswata Shannigrahi | Ritesh Gupta | A. Nanavati
[1] Yousef Saad,et al. Dense Subgraph Extraction with Application to Community Detection , 2012, IEEE Transactions on Knowledge and Data Engineering.
[2] Charu C. Aggarwal,et al. Community Detection with Edge Content in Social Media Networks , 2012, 2012 IEEE 28th International Conference on Data Engineering.
[3] Hans-Peter Kriegel,et al. Density-based community detection in social networks , 2011, 2011 IEEE 5th International Conference on Internet Multimedia Systems Architecture and Application.
[4] François Poulet,et al. Entropy based community detection in augmented social networks , 2011, 2011 International Conference on Computational Aspects of Social Networks (CASoN).
[5] Ioannis Stavrakakis,et al. ISCoDe: A framework for interest similarity-based community detection in social networks , 2011, 2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).
[6] Yizhou Sun,et al. SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks , 2010, CIKM.
[7] Wei Chen,et al. A game-theoretic framework to identify overlapping communities in social networks , 2010, Data Mining and Knowledge Discovery.
[8] Mohammed J. Zaki,et al. Structural correlation pattern mining for large graphs , 2010, MLG '10.
[9] Seungjin Choi,et al. Common Neighborhood Sub-graph Density as a Similarity Measure for Community Detection , 2009, ICONIP.
[10] Domonkos Tikk,et al. Recommending new movies: even a few ratings are more valuable than metadata , 2009, RecSys '09.
[11] Nava Tintarev,et al. Rate it again: increasing recommendation accuracy by user re-rating , 2009, RecSys '09.
[12] Ido Guy,et al. Personalized recommendation of social software items based on social relations , 2009, RecSys '09.
[13] Santo Fortunato,et al. Community detection in graphs , 2009, ArXiv.
[14] Natwar Modani,et al. Large maximal cliques enumeration in sparse graphs , 2008, CIKM '08.
[15] Chung-Kon Shi,et al. Exploring Movie Recommendation System Using Cultural Metadata , 2008, Trans. Edutainment.
[16] Ramesh Nallapati,et al. Joint latent topic models for text and citations , 2008, KDD.
[17] Sougata Mukherjea,et al. Social ties and their relevance to churn in mobile telecom networks , 2008, EDBT '08.
[18] Myra Spiliopoulou,et al. Logic Programming to Address Issues of the Semantic Web , 2007, IEEE/WIC/ACM International Conference on Web Intelligence (WI'07).
[19] Hideki Asoh,et al. A Context-Aware Movie Preference Model Using a Bayesian Network for Recommendation and Promotion , 2007, User Modeling.
[20] Marco Pellegrini,et al. Extraction and classification of dense communities in the web , 2007, WWW '07.
[21] M. A. Sasse,et al. ’Knowing me, knowing you’ — Using profiles and social networking to improve recommender systems , 2006 .
[22] 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..
[23] T. Vicsek,et al. Uncovering the overlapping community structure of complex networks in nature and society , 2005, Nature.
[24] M. Markus,et al. Fluctuation theorem for a deterministic one-particle system. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.
[25] M. Newman,et al. Finding community structure in very large networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.
[26] M. Newman. Fast algorithm for detecting community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[27] Jian Pei,et al. CLOSET+: searching for the best strategies for mining frequent closed itemsets , 2003, KDD '03.
[28] M. Newman,et al. Why social networks are different from other types of networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[29] 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.
[30] John Riedl,et al. Item-based collaborative filtering recommendation algorithms , 2001, WWW '01.
[31] Jian Pei,et al. Mining frequent patterns without candidate generation , 2000, SIGMOD '00.
[32] Mohammed J. Zaki. Scalable Algorithms for Association Mining , 2000, IEEE Trans. Knowl. Data Eng..
[33] David Heckerman,et al. Empirical Analysis of Predictive Algorithms for Collaborative Filtering , 1998, UAI.
[34] Ramakrishnan Srikant,et al. Fast algorithms for mining association rules , 1998, VLDB 1998.
[35] Jon M. Kleinberg,et al. Inferring Web communities from link topology , 1998, HYPERTEXT '98.
[36] Ramakrishnan Srikant,et al. Mining quantitative association rules in large relational tables , 1996, SIGMOD '96.
[37] Ramakrishnan Srikant,et al. Fast Algorithms for Mining Association Rules in Large Databases , 1994, VLDB.
[38] A. Said,et al. How social relationships affect user similarities , 2010 .
[39] J. Pei,et al. Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach , 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).
[40] R. Hanneman. Introduction to Social Network Methods , 2001 .
[41] David A. Cohn,et al. The Missing Link - A Probabilistic Model of Document Content and Hypertext Connectivity , 2000, NIPS.
[42] John Riedl,et al. An algorithmic framework for performing collaborative filtering , 1999, SIGIR '99.