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Analysis of Tag within Online Social Networks

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Association for Computing Machinery

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In recent years, tagging systems have been paid increasing attentions from both research communities and system designers. Most popular online social networking sites harness tag for managing and locating contents, for organizing and connecting users, and for recommending and sharing resources. We believe that tag acts like bridge between people and resources. Research on tag and tagging behavior will provide us insight about resource space and user activities on the Internet. In this paper, we present a two-level analysis of the tagging system of Del.icio.us. The results from both two levels confirm each other. In network level, we connect tags by users collaborative tagging to form a social network of tags. By investigating its network feature, we find phenomena of small world and scale-free network. We also discover that the links within this network have relatively strong semantic relatedness. In individual level, users' tagging behaviors and patterns are observed by visualizing their bookmarking history on Del.icio.us. Besides, we study the linked users by their tags and find that users within a subscription network share more common interests than random pairs of users. During the analysis, we also discuss the implications of the findings for the design of tag-based system.

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Wu, Chao; Zhou, Bo (2009): Analysis of Tag within Online Social Networks. Proceedings of the 2009 ACM International Conference on Supporting Group Work. DOI: 10.1145/1531674.1531678. New York, NY, USA: Association for Computing Machinery. pp. 21–30. Sanibel Island, Florida, USA

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visualization, del.icio.us, semantic relatedness, scale-free, small world, tag, social annotation

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Number of citations to item: 7

  • Mohamed Fazeen, Ram Dantu, Parthasarathy Guturu (2011): Identification of leaders, lurkers, associates and spammers in a social network: context-dependent and context-independent approaches, In: Social Network Analysis and Mining 3(1), doi:10.1007/s13278-011-0017-9
  • Robert Moro, Ivan Srba, Maros Uncik, M´ria Bielikov´, Mari´n imko (2011): Towards Collaborative Metadata Enrichment for Adaptive Web-Based Learning, In: 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, doi:10.1109/wi-iat.2011.220
  • Sogol Naseri, Arash Bahrehmand, Chen Ding (2015): An Improved Collaborative Recommendation System by Integration of Social Tagging Data, In: Lecture Notes in Social Networks, doi:10.1007/978-3-319-14379-8_7
  • Peter Lachenmaier, Florian Ott, Michael Koch (2012): Model-driven development of a person-centric mashup for social software, In: Social Network Analysis and Mining 2(3), doi:10.1007/s13278-012-0064-x
  • Sogol Naseri, Arash Bahrehmand, Chen (Cherie) Ding, Chi-Hung Chi (2013): Enhancing tag-based collaborative filtering via integrated social networking information, In: Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, doi:10.1145/2492517.2492658
  • Jeff Huang, Katherine M. Thornton, Efthimis N. Efthimiadis (2010): Conversational tagging in twitter, In: Proceedings of the 21st ACM conference on Hypertext and hypermedia, doi:10.1145/1810617.1810647
  • Kyungsik Han, Jin Yea Jang, Dongwon Lee (2015): Exploring Tag-based Like Networks, In: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, doi:10.1145/2702613.2732908
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