Determining Affinity of Users in Social Networks Using Fuzzy Sets
Abstract
More and more often the web is perceived as a new social platform. The users exchange information and opinion about different items posted on the web. It is easily observed in one of the forms of web 2.0 called tagging. Tagging is a process of annotating (labeling) digital items – called resources – by users. A single user can describe a number of items using a number of different tags.
Users’ signatures – created based on such activities – can be used to determine similarity between users, and give users a way to find new friends with similar interests and options. This concept is investigated here.
The paper describes a process of creating fuzzy-based users’ signatures and comparing them for the purpose of finding similar users.
Keywords
Fuzzy Relation Jaccard Index Single Resource Similarity Regime Digital ItemPreview
Unable to display preview. Download preview PDF.
References
- 1.Hammond, T., Hannay, T., Lund, B., Scott, J.: Social Bookmarking Tools (I): A General Review. D-Lib Magazine 11 (2005), http://www.dlib.org/dlib/april05/hammond/04hammond.html
- 2.Zadeh, L.A.: Fuzzy sets. Information and Control 8, 338–353 (1965)MathSciNetzbMATHCrossRefGoogle Scholar
- 3.Smith, G.: Tagging: People-Powered Metadata for the Social Web. New Riders (2008)Google Scholar
- 4.Fu, W.-T., Kannampallil, T., Kang, R.: A Semantic Imitation Model of Social Tag Choices. In: 2009 Inter. Conf. on Computational Science and Engineering, pp. 66–73 (2009)Google Scholar
- 5.Zhang, L., Wu, X., Yu, Y.: Emergent Semantics from Folksonomies: A Quantitative Study. In: Spaccapietra, S., Aberer, K., Cudré-Mauroux, P. (eds.) Journal on Data Semantics VI. LNCS, vol. 4090, pp. 168–186. Springer, Heidelberg (2006)CrossRefGoogle Scholar
- 6.Cattuto, C., Benz, D., Hotho, A., Stumme, G.: Semantic Grounding of Tag Relatedness in Social Bookmarking Systems. In: Sheth, A.P., Staab, S., Dean, M., Paolucci, M., Maynard, D., Finin, T., Thirunarayan, K. (eds.) ISWC 2008. LNCS, vol. 5318, pp. 615–631. Springer, Heidelberg (2008)CrossRefGoogle Scholar
- 7.Golder, S., Huberman, B.: The Structure of Collaborative Tagging Systems. Journal of Information Sciences 32, 198–208 (2006)CrossRefGoogle Scholar
- 8.Wygralak, M.: On the best scalar approximation of cardinality of a fuzzy set. International Journal of Uncertainty, Fuzziness and Knowledge-based Systems 56, 681–687 (1997)MathSciNetCrossRefGoogle Scholar