Abstract
In this work we present an in-depth analysis of the user behaviors on different Social Sharing systems. We consider three popular platforms, Flickr, Delicious and StumbleUpon, and, by combining techniques from social network analysis with techniques from semantic analysis, we characterize the tagging behavior as well as the tendency to create friendship relationships of the users of these platforms. The aim of our investigation is to see if (and how) the features and goals of a given Social Sharing system reflect on the behavior of its users and, moreover, if there exists a correlation between the social and tagging behavior of the users. We report our findings in terms of the characteristics of user profiles according to three different dimensions: (i) intensity of user activities, (ii) tag-based characteristics of user profiles, and (iii) semantic characteristics of user profiles.
- Abel, F., Herder, E., Houben, G.-J., Henze, N., and Krause, D. 2011. Cross-system user modeling and personalization on the social web. User Model. User-Adapted Interact. 1--42.Google Scholar
- Adomavicius, G., Sankaranarayanan, R., Sen, S., and Tuzhilin, A. 2005. Incorporating contextual information in recommender systems using a multidimensional approach. ACM Trans. Inf. Syst. 23, 1, 103--145. Google ScholarDigital Library
- Angeletou, S., Sabou, M., and Motta, E. 2009. Improving folksonomies using formal knowledge: A case study on search. Semantic Web, 276--290. Google ScholarDigital Library
- Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., and Ives, Z. 2007. DBpedia: A nucleus for a web of open data. In Proceedings of the 6th International Semantic Web Conference. 715--728. Google ScholarDigital Library
- Begelman, G., Keller, P., and Smadja, F. 2006. Automated tag clustering: improving search and exploration in the tag space. In Proceedings of the Collaborative Web Tagging Workshop. http://imreal-project.eu.Google Scholar
- Cantador, I., Konstas, I., and Jose, J. 2011. Categorising social tags to improve folksonomy-based recommendations. Web Semantics: Science, Services Agents WWW 9, 1, 1--15. Google ScholarDigital Library
- Carmagnola, F. and Cena, F. 2009. User identification for cross-system personalisation. Inf. Sci. Int. J. 179, 1--2, 16--32. Google ScholarDigital Library
- Catanese, S., De Meo, P., Ferrara, E., Fiumara, G., and Provetti, A. 2011. Crawling facebook for social network analysis purposes. In Proceedings of the International Conference On Web Intelligence, Mining And Semantics. 52:1--52:8. Google ScholarDigital Library
- De Gemmis, M., Lops, P., Semeraro, G., and Basile, P. 2008. Integrating tags in a semantic content-based recommender. In Proceedings of the ACM Conference on Recommender Systems (RecSys'08). ACM, 163--170. Google ScholarDigital Library
- De Meo, P., Ferrara, E., Fiumara, G., and Provetti, A. 2011. Improving recommendation quality by merging collaborative filtering and social relationships. In Proceedings of the 11th International Conference on Intelligent Systems Design And Applications. IEEE, 587--592.Google Scholar
- De Meo, P., Nocera, A., Quattrone, G., Rosaci, D., and Ursino, D. 2009a. Finding reliable users and social networks in a social internetworking system. In Proceedings of the International Database Engineering and Applications Symposium (IDEAS'09). 173--181. Google ScholarDigital Library
- De Meo, P., Quattrone, G., and Ursino, D. 2009b. Exploitation of semantic relationships and hierarchical data structures to support a user in his annotation and browsing activities in folksonomies. Inf. Syst. 34, 6, 511--535. Google ScholarDigital Library
- De Meo, P., Quattrone, G., and Ursino, D. 2010. A query expansion and user profile enrichment approach to improve the performance of recommender systems operating on a folksonomy. User Model. User-Adapt. Interact. 20, 1, 41--86. Google ScholarDigital Library
- Dunbar, R. 1998. Grooming, Gossip, and the Evolution of Language. Harvard Universing Press.Google Scholar
- Fellbaum, C., Ed. 1998. WordNet: An Electronic Lexical Database. MIT Press.Google Scholar
- Ferrara, E. 2012a. Community structure discovery in facebook. Int. J. Social Network Mining 1, 1, 67--90.Google ScholarCross Ref
- Ferrara, E. 2012b. A large-scale community structure analysis in facebook. EPJ Data Sci. 1, 1, 9.Google ScholarCross Ref
- Gilbert, E. and Karahalios, K. 2009. Predicting tie strength with social media. In Proceedings of the 27th International Conference on Human Factors in Computing Systems (CHI'09). ACM, 211--220. Google ScholarDigital Library
- Hotho, A., Jäschke, R., Schmitz, C., and Stumme, G. 2006. Information retrieval in folksonomies: Search and ranking. In Proceedings of the 3rd European Semantic Web Conference. Lecture Notes in Computer Science, vol. 4011, Springer, 411--426. Google ScholarDigital Library
- Iofciu, T., Fankhauser, P., Abel, F., and Bischoff, K. 2010. Identifying users across social tagging systems. Tech. rep., L3S Research Center.Google Scholar
- Iofciu, T., Fankhauser, P., Abel, F., and Bischoff, K. 2011. Identifying users across social tagging systems. In Proceedings of the International Conference on Weblogs and Social Media (ICWSM'11). AAAI Press.Google Scholar
- Mendes, P. N., Jakob, M., García-Silva, A., and Bizer, C. 2011. Dbpedia spotlight: Shedding light on the web of documents. In Proceedings of the 7th International Conference on Semantic Systems. Google ScholarDigital Library
- Mika, P. 2005. Ontologies Are Us: A unified model of social networks and semantics. In Proceedings of the International Semantic Web Conference (ISWC'05). 522--536. Google ScholarDigital Library
- Pan, J., Taylor, S., and Thomas, E. 2009. Reducing ambiguity in tagging systems with folksonomy search expansion. Semantic Web: Res. Appl. 669--683. Google ScholarDigital Library
- Schmitz, P. 2006. Inducing ontology from Flickr tags. In Proceedings of the Collaborative Web Tagging Workshop.Google Scholar
- Shannon, C. 1948. A mathematical theory of communication. Bell Syst. Tech. J. 27.Google ScholarCross Ref
- Shi, Y., Larson, M., and Hanjalic, A. 2011. Tags as bridges between domains: Improving recommendation with tag-induced cross-domain collaborative filtering. In Proceedings of the 19th International Conference on User Modeling, Adaption and Personalization, J. A. Konstan, R. Conejo, J. L. Marzo, and N. Oliver, Eds., Lecture Notes in Computer Science, vol. 6787, Springer, 305--316. Google ScholarDigital Library
- Stewart, A., Diaz-Aviles, E., Nejdl, W., Marinho, L. B., Nanopoulos, A., and Schmidt-Thieme, L. 2009. Cross-tagging for personalized open social networking. In Proceedings of the 20th ACM Conference on Hypertext and Hypermedia (Hypertext'09). C. Cattuto, G. Ruffo, and F. Menczer, Eds., ACM, 271--278. Google ScholarDigital Library
- Szomszor, M., Cantador, I., and Alani, H. 2008. Correlating user profiles from multiple folksonomies. In Proceedings of the 19th ACM Conference on Hypertext and Hypermedia (HT'08). ACM, 33--42. Google ScholarDigital Library
- Tso-Sutter, K., Marinho, L., and Schmidt-Thieme, L. 2008. Tag-aware recommender systems by fusion of collaborative filtering algorithms. In Proceedings of the ACM Symposium on Applied Computing (SAC'08). ACM Press, 1995--1999. Google ScholarDigital Library
- Vander Wal, T. 2005. Explaining and showing broad and narrow folksonomies. http://www.personalinfocloud.com/2005/02/explaining.and.html.Google Scholar
- Vasuki, V., Natarajan, N., Lu, Z., Savas, B., and Dhillon, I. 2011. Scalable affiliation recommendation using auxiliary networks. ACM Trans. Intell. Syst. Technol. 3, 1, 3. Google ScholarDigital Library
- Vosecky, J., Hong, D., and Shen, V. Y. 2009. User identification across multiple social networks. In Proceedings of the 1st International Conference on Networked Digital Technologies (NDT'09). IEEE, 360--365.Google Scholar
- Wu, X., Zhang, L., and Yu, Y. 2006. Exploring social annotations for the Semantic Web. In Proceedings of the International Conference on World Wide Web (WWW'06). ACM, 417--426. Google ScholarDigital Library
- Yeung, C., Gibbins, N., and Shadbolt, N. 2007. Tag meaning disambiguation through analysis of tripartite structure of folksonomies. In Proceedings of the International Conference on Web Intelligence and International Conference on Intelligent Agent Technology Workshops (WI-IAT'07 Workshops). IEEE, 3--6. Google ScholarDigital Library
- Yuan, Q., Chen, L., and Zhao, S. 2011. Factorization vs. regularization: fusing heterogeneous social relationships in top-n recommendation. In Proceedings of the ACM Conference on Recommender Systems (RecSys'11). ACM, 245--252. Google ScholarDigital Library
- Zafarani, R. and Liu, H. 2009. Connecting corresponding identities across communities. In Proceedings of the International Conference on Weblogs and Social Media. 354--357.Google Scholar
Index Terms
- Analyzing user behavior across social sharing environments
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