@inproceedings{1379123,
  abstract = {Social bookmarking systems constitute an established part of the Web 2.0. In such systems users describe bookmarks by keywords called tags. The structure behind these social systems, called folksonomies, can be viewed as a tripartite hypergraph of user, tag and resource nodes. This underlying network shows specific structural properties that explain its growth and the possibility of serendipitous exploration.
Today's search engines represent the gateway to retrieve information from the World Wide Web. Short queries typically consisting of two to three words describe a user's information need. In response to the displayed results of the search engine, users click on the links of the result page as they expect the answer to be of relevance.
This clickdata can be represented as a folksonomy in which queries are descriptions of clicked URLs. The resulting network structure, which we will term logsonomy is very similar to the one of folksonomies. In order to find out about its properties, we analyze the topological characteristics of the tripartite hypergraph of queries, users and bookmarks on a large snapshot of del.icio.us and on query logs of two large search engines. All of the three datasets show small world properties. The tagging behavior of users, which is explained by preferential attachment of the tags in social bookmark systems, is reflected in the distribution of single query words in search engines. We can conclude that the clicking behaviour of search engine users based on the displayed search results and the tagging behaviour of social bookmarking users is driven by similar dynamics.},
  address = {New York, NY, USA},
  author = {Krause, Beate and Jäschke, Robert and Hotho, Andreas and Stumme, Gerd},
  booktitle = {HT '08: Proceedings of the nineteenth ACM conference on Hypertext and hypermedia},
  doi = {http://doi.acm.org/10.1145/1379092.1379123},
  interhash = {6d34ea1823d95b9dbf37d4db4d125d2a},
  intrahash = {c7f43f2f922de1e7febedd10347e80cb},
  isbn = {978-1-59593-985-2},
  location = {Pittsburgh, PA, USA},
  pages = {157--166},
  publisher = {ACM},
  title = {Logsonomy - social information retrieval with logdata},
  url = {http://portal.acm.org/citation.cfm?id=1379092.1379123&coll=ACM&dl=ACM&type=series&idx=SERIES399&part=series&WantType=Proceedings&title=HT&CFID=825963&CFTOKEN=78379687},
  year = 2008
}

@inproceedings{AlKhalifa:2007,
  abstract = {Users tag resources for a variety of reasons and using a variety of conventions. The tags that they provide are stored in social bookmarking services, so these services can provide a rich gateway to a wide and interesting quantity of web resources. The cognitive effort that has gone into making these tags has presumably added value to the description of the resource. In this work we utilize the quantitative value of these tags for ranking bookmarked web resources in social bookmarking services. Our proposed solution is called CoolRank, a simple and intuitive model to rank bookmarked web resources in a social bookmarking service, such as del.icio.us. CoolRank makes use of both quantitative information, based on the number of people who have bookmarked a web resource, and subjective information, based on the words people have used in their tags.},
  author = {Al-Khalifa, H.S.},
  booktitle = {Innovations in Information Technology, 2007. Innovations '07. 4th International Conference on},
  doi = {10.1109/IIT.2007.4430482},
  interhash = {a6babb1a2f926cca3e8fe0258337e864},
  intrahash = {4671fb1c606e3d7f559bb25d9b20e47d},
  isbn = {978-1-4244-1841-1},
  pages = {208-212},
  title = {CoolRank: A Social Solution for Ranking Bookmarked Web Resources},
  url = {http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4430482},
  year = 2007
}

@inproceedings{marlow2006position,
  abstract = {In recent years, tagging systems have become increasingly popular. These systems enable users to add keywords (i.e., “tags”) to Internet resources (e.g., web pages, images, videos) without relying on a controlled vocabulary. Tagging systems have the potential to improve search, spam detection, reputation systems, and personal organization while introducing new modalities of social communication and opportunities for data mining. This potential is largely due to the social structure that underlies many of the current systems. Despite the rapid expansion of applications that support tagging of resources, tagging systems are still not well studied or understood. In this paper, we provide a short description of the academic related work to date. We offer a model of tagging systems, specifically in the context of web-based systems, to help us illustrate the possible benefits of these tools. Since many such systems already exist, we provide a taxonomy of tagging systems to help inform their analysis and design, and thus enable researchers to frame and compare evidence for the sustainability of such systems. We also provide a simple taxonomy of incentives and contribution models to inform potential evaluative frameworks. While this work does not present comprehensive empirical results, we present a preliminary study of the photosharing and tagging system Flickr to demonstrate our model and explore some of the issues in one sample system. This analysis helps us outline and motivate possible future directions of research in tagging systems.},
  author = {Marlow, Cameron and Naaman, Mor and Boyd, Danah and Davis, Marc},
  booktitle = {Collaborative Web Tagging Workshop at WWW2006},
  interhash = {7446351e0d902ee4f36fb750f82c50a5},
  intrahash = {8b100f88154692615b1e31e2e243e78c},
  location = {Edinburgh, Scotland},
  month = May,
  title = {{Position Paper, Tagging, Taxonomy, Flickr, Article, ToRead}},
  url = {http://www.danah.org/papers/WWW2006.pdf},
  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
}

@inproceedings{citeulike:771813,
  abstract = {We describe a technology exploration of social bookmarking within a closed, corporate environment. We hypothesize that such a tool would be valuable for information sharing, information management, and social networking in our organization. In order to assess the value of social software, we have embarked upon a 6-month pilot, or trial period, where we are striving to reach critical mass through marketing strategies and targeting influential figures with large, social networks. Our goal is to demonstrate the utility of social bookmarking within our corporation and to explore some of the social influences and behavioral evolution.},
  author = {Damianos, Laurie and Griffith, John and Cuomo, Donna and Hirst, David and Smallwood, James},
  booktitle = {Collaborative Web Tagging Workshop at WWW2006, Edinburgh, Scotland},
  citeulike-article-id = {771813},
  interhash = {17fc98ebe0777644a3439204fdeab745},
  intrahash = {4f7acbf38a2dcaaa411979a0994da26c},
  month = May,
  priority = {2},
  title = {Onomi: Social Bookmarking on a Corporate Intranet},
  url = {http://www.rawsugar.com/www2006/28.pdf},
  year = 2006
}

@article{Ha05,
  author = {Hammond, Tony and Hannay, Timo and Lund, Ben and Scott, Joanna},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  interhash = {c7457d9dc07545a061de119d96ca4e47},
  intrahash = {89c6c43ad692ccfbe4c09d31926ab8a7},
  isbn = {3-540-60161-9},
  journal = {D-Lib Magazine},
  month = {April},
  number = 4,
  organization = {{N}ature {P}ublishing {G}roup},
  title = {{S}ocial {B}ookmarking {T}ools ({I}): {A} {G}eneral {R}eview},
  url = {http://www.dlib.org/dlib/april05/hammond/04hammond.html},
  volume = 11,
  year = 2005
}