Database Reference
In-Depth Information
References
1. Mika, P.: Ontologies are us: A unified model of social networks and semantics. In: ISWC
2005, Lecture Notes in Artificial Intelligence, vol. 3729, pp. 522-536. Springer, Heidelberg
(2005)
2. Hotho, A., Jaschke, R., Schmitz, C., Stumme, G.: Information retrieval in folksonomies:
Search and ranking. In: ESWC 2006, Lecture Notes in Artificial Intelligence, vol. 4011,
pp. 411-426 (2006)
3. Girvan, M., Newman, M.E.J.: Community structure in social and biological networks. Proc.
Natl Acad. Sci. USA 99, 7821-7826 (2002)
4. Xu, X., Yuruk, N., Feng, Z., Schweiger, T.A.: SCAN: A structural clustering algorithm for
networks. In: Proceedings of KDD´07: 13th ACM SIGKDD International Conference on
Knowledge Discovery and Data Mining, pp. 824-833. ACM, New York, NY (2007)
5. Au Yeung, C.M., Gibbins, N., Shadbolt., N.: Contextualising tags in collaborative tagging
systems. In: Proceedings of 20th ACM Conference on Hypertext and Hypermedia (Turin,
Italy, 29 June-1 July), pp. 251-260. ACM, New York, NY (2009)
6. Kumar, R., Raghavan, P., Rajagopalan, S., Tomkins, A.: Trawling the web for emerging
cyber-communities. Comp. Netw. 31(11-16), 1481-1493 (1999)
7. Flake, G.W., Lawrence, S., Giles, C.L.: Efficient identification of Web communities. In:
Proceedings of KDD'00: 6th ACM SIGKDD International Conference on Knowledge Dis-
covery and Data Mining, pp. 150-160. ACM, New York, NY (2000)
8. Leskovec, J., Lang, K.J., Dasgupta, A., Mahoney, M.W.: Statistical properties of community
structure in large social and information networks. In: Proceedings of WWW´08: 17th
International Conference on World Wide Web, pp. 695-704. ACM, New York, NY (2008)
9. Koutsonikola, V., Vakali, A., Giannakidou, E., Kompatsiaris, I.: Clustering users of a social
tagging system: A topic and time based approach. In: Proceedings of the 10th International
Conference on Web Information Systems Engineering (2009)
10. Schifanella, R., Barrat, A., Cattuto, C., Markines, B., Menczer, F.: Folks in folksonomies:
Social link prediction from shared metadata. In: Proceedings of WSDM'10: 3rd ACM
international Conference on Web Search and Data Mining, pp. 271-280. ACM, New York,
NY (2010)
11. Cattuto, C., Baldassarri, A., Servedio, V.D.P., Loreto, V.: Emergent community structure in
social tagging systems. Adv. Complex Syst. 11(4), 597-608 (2008)
12. Au Yeung, C.M., Gibbins, N., Shadbolt, N.: A study of user profile generation from folkso-
nomies. In: Proceedings of SWKM 2008: Workshop on Social Web and Knowledge Manage-
ment at WWW2008 (2008)
13. Nanopoulos, A., Gabriel, H.-H., Spiliopoulou, M.: Spectral clustering in social-tagging
systems. In: Proceedings of WISE 2009: Web Information System Engineering, pp. 87-100.
Springer, Heidelberg (2009)
14. Shepitsen, A., Gemmell, J., Mobasher, B., Burke, R.: Personalized recommendation in social
tagging systems using hierarchical clustering. In: Proceedings of RecSys 2008: ACM Confer-
ence on Recommender Systems, pp. 259-266. ACM, New York, NY (2008)
15. Gemmell, J., Shepitsen, A., Mobasher, B., Burke, R.: Personalizing navigation in folkso-
nomies using hierarchical tag clustering. In: Proceedings of DaWaK 2008: International
Conference on Data Warehousing and Knowledge Discovery, pp. 196-205. Springer,
Heidelberg (2008)
16. Papadopoulos, S., Kompatsiaris, Y., Vakali, A.: Leveraging collective intelligence through
community detection in tag networks.In: Proceedings of CKCaR'09 Workshop on Collective
Knowledge Capturing and Representation, Redondo Beach, California, USA (2009)
17. Papadopoulos, S., Kompatsiaris, Y., Vakali, A.: A Graph-based clustering scheme for identi-
fying related tags in folksonomies. In: Proceedings of 12th International Conference on Data
Warehousing and Knowledge Discovery (DaWaK 2010), Bilbao, Spain (2010)
Search WWH ::
Custom Search