@article{journals/internet/HeymannKG07, author = {Heymann, Paul and Koutrika, Georgia and Garcia-Molina, Hector}, date = {2007-11-08}, ee = {http://doi.ieeecomputersociety.org/10.1109/MIC.2007.125}, interhash = {dea5faea536678622993617bfc5fbb85}, intrahash = {8a293527604e19085173fa461340f55e}, journal = {IEEE Internet Computing}, number = 6, pages = {36-45}, title = {Fighting Spam on Social Web Sites: A Survey of Approaches and Future Challenges.}, url = {http://dblp.uni-trier.de/db/journals/internet/internet11.html#HeymannKG07}, volume = 11, year = 2007 } @inproceedings{conf/airweb/MarkinesCM09, author = {Markines, Benjamin and Cattuto, Ciro and Menczer, Filippo}, booktitle = {AIRWeb}, crossref = {conf/airweb/2009}, date = {2009-05-06}, editor = {Fetterly, Dennis and Gyöngyi, Zoltán}, ee = {http://doi.acm.org/10.1145/1531914.1531924}, interhash = {50847302da776b6e04e53209a0b54699}, intrahash = {46e6041bcf0ba281cdcc3fc4cec6ae60}, isbn = {978-1-60558-438-6}, pages = {41-48}, series = {ACM International Conference Proceeding Series}, title = {Social spam detection.}, url = {http://dblp.uni-trier.de/db/conf/airweb/airweb2009.html#MarkinesCM09}, year = 2009 } @inproceedings{koutrika2007combating, address = {New York, NY, USA}, author = {Koutrika, Georgia and Effendi, Frans Adjie and Gy\"{o}ngyi, Zolt\'{a}n and Heymann, Paul and Garcia-Molina, Hector}, booktitle = {AIRWeb '07: Proceedings of the 3rd international workshop on Adversarial information retrieval on the web}, doi = {http://doi.acm.org/10.1145/1244408.1244420}, interhash = {8b6de1f035a46f5465f1ed868a18c79a}, intrahash = {776b76b33d469e438b0e5f74fc7ec7f0}, isbn = {978-1-59593-732-2}, location = {Banff, Alberta, Canada}, pages = {57--64}, publisher = {ACM Press}, title = {Combating spam in tagging systems}, url = {http://portal.acm.org/citation.cfm?id=1244408.1244420}, year = 2007 } @inproceedings{schmitz2006mining, address = {Berlin/Heidelberg}, author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd}, booktitle = {Data Science and Classification (Proc. IFCS 2006 Conference)}, doi = {10.1007/3-540-34416-0_28}, editor = {Batagelj, V. and Bock, H.-H. and Ferligoj, A. and Žiberna, A.}, interhash = {20650d852ca3b82523fcd8b63e7c12d7}, intrahash = {c8dbb6371be8d67e3aa1928bd3dd0fed}, isbn = {978-3-540-34415-5}, month = {July}, note = {Ljubljana}, pages = {261-270}, publisher = {Springer}, series = {Studies in Classification, Data Analysis, and Knowledge Organization}, title = {Mining Association Rules in Folksonomies}, url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2006/schmitz2006asso_ifcs.pdf}, vgwort = {18}, year = 2006 } @article{cattuto2007network, author = {Cattuto, Ciro and Schmitz, Christoph and Baldassarri, Andrea and Servedio, Vito D. P. and Loreto, Vittorio and Hotho, Andreas and Grahl, Miranda and Stumme, Gerd}, interhash = {fc5f2df61d28bc99b7e15029da125588}, intrahash = {f15cc7613101babb2c3ed1927e35213a}, journal = {AI Communications}, number = 4, pages = {245 - 262}, title = {Network Properties of Folksonomies}, url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2007/aicomm_2007_folksonomy_clustering.pdf}, vgwort = {67}, volume = 20, year = 2007 } @inproceedings{grahl2007clustering, abstract = {Currently, social bookmarking systems provide intuitive support for browsing locally their content. A global view is usually presented by the tag cloud of the system, but it does not allow a conceptual drill-down, e. g., along a conceptual hierarchy. In this paper, we present a clustering approach for computing such a conceptual hierarchy for a given folksonomy. The hierarchy is complemented with ranked lists of users and resources most related to each cluster. The rankings are computed using our FolkRank algorithm. We have evaluated our approach on large scale data from the del.icio.us bookmarking system.}, address = {Graz, Austria}, author = {Grahl, Miranda and Hotho, Andreas and Stumme, Gerd}, booktitle = {7th International Conference on Knowledge Management (I-KNOW '07)}, interhash = {5cf58d2fdd3c17f0b0c54ce098ff5b60}, intrahash = {334d3ab11400c4a3ea3ed5b1e95c1855}, issn = {0948-695x}, month = SEP, pages = {356-364}, publisher = {Know-Center}, title = {Conceptual Clustering of Social Bookmarking Sites}, vgwort = {14}, year = 2007 } @inproceedings{Benz07OL, author = {Benz, Dominik and Hotho, Andreas}, booktitle = {LWA 2007: Lernen - Wissen - Adaption, Halle, September 2007, Workshop Proceedings (LWA)}, crossref = {conf/lwa/2007}, date = {2007-11-16}, editor = {Hinneburg, Alexander}, interhash = {ff7de5717f771dabd764675279ff3adf}, intrahash = {ad31989b2393f5d0c4e8be8dbb613141}, isbn = {978-3-86010-907-6}, pages = {109-112}, publisher = {Martin-Luther-University Halle-Wittenberg}, title = {Position Paper: Ontology Learning from Folksonomies.}, url = {http://dblp.uni-trier.de/db/conf/lwa/lwa2007.html#BenzH07}, vgwort = {16}, year = 2007 } @inproceedings{jaschke07recommender, author = {Jäschke, Robert and Marinho, Leandro Balby and Hotho, Andreas and Schmidt-Thieme, Lars and Stumme, Gerd}, bibsource = {DBLP, http://dblp.uni-trier.de}, booktitle = {Knowledge Discovery in Databases: PKDD 2007, 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, September 17-21, 2007, Proceedings}, editor = {Kok, Joost N. and Koronacki, Jacek and de Mántaras, Ramon López and Matwin, Stan and Mladenic, Dunja and Skowron, Andrzej}, ee = {http://dx.doi.org/10.1007/978-3-540-74976-9_52}, interhash = {7e212e3bac146d406035adebff248371}, intrahash = {b8b87c78e9e27a44aacde0402c642bff}, isbn = {978-3-540-74975-2}, pages = {506-514}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, title = {Tag Recommendations in Folksonomies}, url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2007/Tag_Recommender_in_Folksonomies_final.pdf}, vgwort = {20}, volume = 4702, year = 2007 } @article{1276056, address = {Amsterdam, The Netherlands, The Netherlands}, author = {Wurst, Michael and Morik, Katharina}, doi = {http://dx.doi.org/10.1016/j.future.2006.04.004}, interhash = {591e4b107d4a5cafc0cf49e07fad72e0}, intrahash = {e5eba80e58b4532a3fd3bcf50994734e}, issn = {0167-739X}, journal = {Future Gener. Comput. Syst.}, number = 1, pages = {69--75}, publisher = {Elsevier Science Publishers B. V.}, title = {Distributed feature extraction in a p2p setting: a case study}, url = {http://portal.acm.org/citation.cfm?id=1276056}, volume = 23, year = 2007 } @inproceedings{LehmannWille95, address = {Berlin--Heidelberg--New~York}, author = {Lehmann, Fritz and Wille, Rudolf}, booktitle = {Conceptual structures: applications, implementation and theory}, editor = {Ellis, G. and Levinson, R. and Rich, W. and Sowa, J. F.}, interhash = {fa3e423ee0c5a9dadc3211c3f8a5e4a6}, intrahash = {341d19e74e2cce2ea9d5a94df8b48873}, number = 954, pages = {32-43}, publisher = {Springer--Verlag}, series = {Lecture Notes in Artificial Intelligence}, title = {A triadic approach to formal concept analysis}, year = 1995 } @inproceedings{stumme05finite, address = {Heidelberg}, author = {Stumme, Gerd}, bibsource = {DBLP, http://dblp.uni-trier.de}, booktitle = {Proc. 3rd Intl. Conf. on Formal Concept Analysis}, editor = {Ganter, Bernhard and Godin, Robert}, ee = {http://springerlink.metapress.com/openurl.asp?genre=article{\&}issn=0302-9743{\&}volume=3403{\&}spage=315}, interhash = {7d85e1092613fd7c91d6ba5dfcf4a044}, intrahash = {1671b75099da5291bf20aefe0d22f3b4}, isbn = {3-540-24525-1}, pages = {315-328}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, title = {A Finite State Model for On-Line Analytical Processing in Triadic Contexts}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2005/stumme2005finite.pdf}, volume = 3403, year = 2005 } @inproceedings{1180904, abstract = {A tagging community's vocabulary of tags forms the basis for social navigation and shared expression.We present a user-centric model of vocabulary evolution in tagging communities based on community influence and personal tendency. We evaluate our model in an emergent tagging system by introducing tagging features into the MovieLens recommender system.We explore four tag selection algorithms for displaying tags applied by other community members. We analyze the algorithms 'effect on vocabulary evolution, tag utility, tag adoption, and user satisfaction.}, address = {New York, NY, USA}, author = {Sen, Shilad and Lam, Shyong K. and Rashid, Al Mamunur and Cosley, Dan and Frankowski, Dan and Osterhouse, Jeremy and Harper, F. Maxwell and Riedl, John}, booktitle = {CSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work}, doi = {http://doi.acm.org/10.1145/1180875.1180904}, interhash = {96b20bffcbc91e528461529935524b90}, intrahash = {582641c05e7a0b9396945a951822c83f}, isbn = {1-59593-249-6}, location = {Banff, Alberta, Canada}, pages = {181--190}, publisher = {ACM}, title = {tagging, communities, vocabulary, evolution}, url = {http://portal.acm.org/citation.cfm?id=1180904}, year = 2006 } @article{heylighen98bootstrapping, author = {Heylighen, Francis}, comment = {meh: general ontology, knowledge structures}, interhash = {aa8e2fb8c4118b7484d55ffc8104cd04}, intrahash = {2fe2537d42bd46b0a31a25c125eb865d}, journal = {Kybernetes}, number = {5/6}, pages = {691--722}, title = {Bootstrapping knowledge representations: from entailment meshes via semantic nets to learning webs}, url = {citeseer.nj.nec.com/francis96bootstrapping.html}, volume = 30, year = 2001 } @article{10.1109/WI.2007.108, address = {Los Alamitos, CA, USA}, author = {Nauman, Mohammad and Khan, Shahbaz}, doi = {http://doi.ieeecomputersociety.org/10.1109/WI.2007.108}, interhash = {ed3957694fe4ccb1137780c720b7d79a}, intrahash = {799817443dab31b534315a790c24a9f6}, isbn = {0-7695-3026-5}, journal = {wi}, pages = {423-426}, publisher = {IEEE Computer Society}, title = {Using PersonalizedWeb Search for Enhancing Common Sense and Folksonomy Based Intelligent Search Systems}, volume = 0, year = 2007 } @article{sinclair:ftc, author = {Sinclair, J. and Cardew-Hall, M.}, interhash = {fe7fb4aad79ca5ee3ba8a5b2e1c3cd5b}, intrahash = {539fe40eb8dd2597956cae27d6fb02ac}, journal = {Journal of Information Science}, pages = 016555150607808, publisher = {CILIP}, title = {{The folksonomy tag cloud: When is it useful?}}, year = 2007 } @inproceedings{kolari2007blogs, author = {Kolari, Pranam and Finin, Tim and Yesha, Yelena and Yesha, Yaacov and Lyons, Kelly and Perelgut, Stephen and Hawkins, Jen}, booktitle = {Proceedings of the International Conference on Weblogs and Social Media (ICWSM 2007)}, interhash = {68f2ca738eb33fdae0339001db478c45}, intrahash = {c6bef9ae4c1f3d8e7f28cb98721e4da1}, month = {March}, note = {Nominated for Best Paper Award}, title = {{On the Structure, Properties and Utility of Internal Corporate Blogs}}, url = {http://ebiquity.umbc.edu/get/a/publication/341.pdf}, year = 2007 } @article{journals/corr/abs-physics-0602026, author = {Capocci, Andrea and Servedio, Vito Domenico Pietro and Colaiori, Francesca and Buriol, Luciana S. and Donato, Debora and Leonardi, Stefano and Caldarelli, Guido}, date = {2008-01-02}, ee = {http://arxiv.org/abs/physics/0602026}, interhash = {88bf1242c692479acc414f633c4bab44}, intrahash = {3c16ad257c21304d02f1d108571d9c8c}, journal = {CoRR}, note = {informal publication}, title = {Preferential attachment in the growth of social networks: the case of Wikipedia}, url = {http://dblp.uni-trier.de/db/journals/corr/corr0602.html#abs-physics-0602026}, volume = {abs/physics/0602026}, year = 2006 } @article{cattuto-2007-104, abstract = { Collaborative tagging has been quickly gaining ground because of its ability to recruit the activity of web users into effectively organizing and sharing vast amounts of information. Here we collect data from a popular system and investigate the statistical properties of tag co-occurrence. We introduce a stochastic model of user behavior embodying two main aspects of collaborative tagging: (i) a frequency-bias mechanism related to the idea that users are exposed to each other's tagging activity; (ii) a notion of memory - or aging of resources - in the form of a heavy-tailed access to the past state of the system. Remarkably, our simple modeling is able to account quantitatively for the observed experimental features, with a surprisingly high accuracy. This points in the direction of a universal behavior of users, who - despite the complexity of their own cognitive processes and the uncoordinated and selfish nature of their tagging activity - appear to follow simple activity patterns.}, author = {Cattuto, Ciro and Loreto, Vittorio and Pietronero, Luciano}, interhash = {5859f32f4999e1fbf6f4c59cc89fa2c1}, intrahash = {c958b2f97a0557abdb3778faa34802bb}, journal = {PNAS}, pages = 1461, title = {Collaborative Tagging and Semiotic Dynamics}, url = {doi:10.1073/pnas.0610487104}, volume = 104, year = 2007 } @inproceedings{hotho2006information, address = {Budva, Montenegro}, author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd}, booktitle = {Proceedings of the 3rd European Semantic Web Conference }, interhash = {10ec64d80b0ac085328a953bb494fb89}, intrahash = {7da1127fc4836e2cf58e3073f1b888b2}, isbn = {3-540-34544-2}, month = {June}, pages = {411-426}, publisher = {Springer}, series = {LNCS}, title = {Information Retrieval in Folksonomies: Search and Ranking}, url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2006/seach2006hotho_eswc.pdf}, vgwort = {29}, volume = 4011, year = 2006 } @inproceedings{trias2006jaeschke, address = {Hong Kong}, author = {Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Ganter, Bernhard and Stumme, Gerd}, booktitle = {Proc. 6th ICDM conference}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2006.162}, interhash = {b4964c3bdd2991a80873d7080ef6a73e}, intrahash = {f9a6e80c21b1266491d2509ca0b88eea}, isbn = {0-7695-2701-9}, issn = {1550-4786}, month = {December}, title = {TRIAS - An Algorithm for Mining Iceberg Tri-Lattices}, vgwort = {19}, year = 2006 } @article{keyhere, abstract = {Personalized recommendation is used to conquer the information overload problem, and collaborative filtering recommendation (CF) is one of the most successful recommendation techniques to date. However, CF becomes less effective when users have multiple interests, because users have similar taste in one aspect may behave quite different in other aspects. Information got from social bookmarking websites not only tells what a user likes, but also why he or she likes it. This paper proposes a division algorithm and a CubeSVD algorithm to analysis this information, distill the interrelations between different users’ various interests, and make better personalized recommendation based on them. Experiment reveals the superiority of our method over traditional CF methods. ER -}, author = {Xu, Yanfei and Zhang, Liang and Liu, Wei}, interhash = {edf999afa5a0ff81e53b0c859b466659}, intrahash = {5fbd24f07fe8784b516e69b0eb3192f3}, journal = {Frontiers of WWW Research and Development - APWeb 2006}, pages = {733--738}, title = {Cubic Analysis of Social Bookmarking for Personalized Recommendation}, url = {http://dx.doi.org/10.1007/11610113_66}, year = 2006 } @inproceedings{xfms06towards, author = {Xu, Zhichen and Fu, Yun and Mao, Jianchang and Su, Difu}, booktitle = {Proceedings of the Collaborative Web Tagging Workshop at the WWW 2006}, interhash = {e18fd92b0ffa21b9f0cbb3a2fe15b873}, intrahash = {49719d13c6da0c5f6917b97ef777184e}, title = {Towards the Semantic Web: Collaborative Tag Suggestions}, year = 2006 } @misc{golder05structure, author = {Golder, Scott and Huberman, Bernardo A.}, citeulike-article-id = {305755}, eprint = {cs.DL/0508082}, interhash = {2d312240f16eba52c5d73332bc868b95}, intrahash = {f852d7a909fa3edceb04abb7d2a20f71}, month = Aug, priority = {2}, title = {The Structure of Collaborative Tagging Systems}, url = {http://arxiv.org/abs/cs.DL/0508082}, year = 2005 } @inproceedings{1128138, address = {Washington, DC, USA}, author = {Niwa, Satoshi and Doi, Takuo and Honiden, Shinichi}, booktitle = {ITNG '06: Proceedings of the Third International Conference on Information Technology: New Generations (ITNG'06)}, doi = {http://dx.doi.org/10.1109/ITNG.2006.140}, interhash = {9554b0b80885f6c6f8d4f63a88d7b215}, intrahash = {5b250ba1a970964b09b8f7d0e395b949}, isbn = {0-7695-2497-4}, pages = {388--393}, publisher = {IEEE Computer Society}, title = {Web Page Recommender System based on Folksonomy Mining}, url = {http://portal.acm.org/citation.cfm?id=1128138}, year = 2006 } @article{begelman2006atc, author = {Begelman, G. and Keller, P. and Smadja, F.}, interhash = {ffacd9d40f6cba1aa8140f501c2a1802}, intrahash = {dd848b212f249f3aa591ee4c8835c2c2}, journal = {WWW2006, May}, pages = {22--26}, title = {{Automated Tag Clustering: Improving search and exploration in the tag space}}, url = {http://www.pui.ch/phred/automated_tag_clustering/}, year = 2006 } @misc{santosneto-2007, author = {Santos-Neto, Elizeu and Ripeanu, Matei and Iamnitchi, Adriana}, interhash = {a684fa9c2187ce048c69f6edb94f6c26}, intrahash = {785df87d0942d1cb6da9b944df902730}, title = {Tracking User Attention in Collaborative Tagging Communities}, url = {http://arxiv.org/pdf/0705.1013}, year = 2007 } @techreport{citeulike:739394, abstract = {Collaborative tagging systems---systems where many casual users annotate objects with free-form strings (tags) of their choosing---have recently emerged as a powerful way to label and organize large collections of data. During our recent investigation into these types of systems, we discovered a simple but remarkably effective algorithm for converting a large corpus of tags annotating objects in a tagging system into a navigable hierarchical taxonomy of tags. We first discuss the algorithm and then present a preliminary model to explain why it is so effective in these types of systems.}, author = {Heymann, Paul and Garcia-Molina, Hector}, citeulike-article-id = {739394}, institution = {Computer Science Department}, interhash = {d77846b40aadb0e25233cabf905bb93e}, intrahash = {3b4ce6fd7fa6dbf1c39fd261fa39fcd6}, month = {April}, number = {2006-10}, priority = {3}, school = {Standford University}, title = {Collaborative Creation of Communal Hierarchical Taxonomies in Social Tagging Systems}, url = {http://dbpubs.stanford.edu:8090/pub/2006-10}, year = 2006 } @inproceedings{Mika2005, author = {Mika, Peter}, bibsource = {DBLP, http://dblp.uni-trier.de}, booktitle = {International Semantic Web Conference}, doi = {10.1007/11574620_38}, ee = {http://dx.doi.org/10.1007/11574620_38}, interhash = {5ea12110b5bb0e3a8ad09aeb16a70cdb}, intrahash = {6929599cc8fbdc408282907eeec37204}, owner = {mlux}, pages = {522-536}, publisher = {Springer}, series = {LNCS}, timestamp = {2006.01.19}, title = {Ontologies Are Us: A Unified Model of Social Networks and Semantics}, url = {http://www.cs.vu.nl/~pmika/research/papers/ISWC-folksonomy.pdf}, year = 2005 } @misc{Ma04, author = {Mathes, Adam}, interhash = {2fb667a05d8863dbb39625ed1e9d5b99}, intrahash = {45ae9616f7c7e480384d43cb2f6aec4d}, misc = {isbn = {3-540-60161-9}, bibsource = {DBLP, http://dblp.uni-trier.de}}, month = {December}, school = {Graduate School of Library and Information Science, University of Illinois Urbana-Champaign }, title = {{F}olksonomies -- {C}ooperative {C}lassification and {C}ommunication {T}hrough {S}hared {M}etadata}, url = {http://www.adammathes.com/academic/computer-mediated-communication/folksonomies.html}, year = 2004 } @misc{citeulike:361498, author = {Shen, Kaikai and Wu, Lide}, citeulike-article-id = {361498}, eprint = {cs.IR/0509072}, interhash = {5150a1bb822f3ce4c888e2497eedbd07}, intrahash = {0a5d7dfd17c6952fe7a07f7756098601}, month = Sep, priority = {2}, title = {Folksonomy as a Complex Network}, url = {http://arxiv.org/abs/cs.IR/0509072}, year = 2005 } @inproceedings{conf/vldb/GyongyiGP04, author = {Gyöngyi, Zoltán and Garcia-Molina, Hector and Pedersen, Jan}, booktitle = {VLDB}, ee = {http://www.vldb.org/conf/2004/RS15P3.PDF}, interhash = {df645e278ec1d72e4576f95ec7bb94c0}, intrahash = {0d15cc263e9ca534e79c2d6f470f725e}, pages = {576-587}, title = {Combating Web Spam with TrustRank.}, url = {http://dblp.uni-trier.de/db/conf/vldb/vldb2004.html#GyongyiGP04}, year = 2004 } @article{citeulike:171426, author = {Adomavicius, G. and Tuzhilin, A.}, citeulike-article-id = {171426}, interhash = {42f7653127a823354d000ea95cf804be}, intrahash = {55294392edb717922798725dd8be80b3}, journal = {Knowledge and Data Engineering, IEEE Transactions on}, keywords = {collaborative collaborative-filtering filtering mining personalization recommender recommender-systems systems}, number = 6, pages = {734--749}, priority = {2}, title = {Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1423975}, volume = 17, year = 2005 } @misc{citeulike:155, abstract = {Inspired by empirical studies of networked systems such as the Internet, social networks, and biological networks, researchers have in recent years developed a variety of techniques and models to help us understand or predict the behavior of these systems. Here we review developments in this field, including such concepts as the small-world effect, degree distributions, clustering, network correlations, random graph models, models of network growth and preferential attachment, and dynamical processes taking place on networks.}, author = {Newman, M. E. J.}, citeulike-article-id = {155}, eprint = {cond-mat/0303516}, interhash = {7bedd01cb4c06af9f5200b0fb3faa571}, intrahash = {d53568209eef08fb0a8734cf34c59a71}, keywords = {affinity algorithm arch clustering complex-systems folksonomy growth information_retrieval math network network_theory readinggroup scale-free-networks small_world socialnetwork systems thesis web web-graph}, month = {March}, priority = {5}, title = {The structure and function of complex networks}, url = {http://arxiv.org/abs/cond-mat/0303516}, year = 2003 }