Abstract
Forums on the Internet are an overwhelming source of knowledge considering the number of topics treated and users who participate in these discussions. This volume of data is difficult to comprehend for a person with respect for the large number of posts. Our work proposes a new formal framework for synthesizing information contained in these forums. We extract a social network that reflects reality by extracting multiple relationships between individuals (structural relationship, name and text quotation relationships). These relationships are created from the structure and the content of the discussion. Results show that discovering quotation relationships from forums is not trivial.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Culotta, A., McCallum, A., Bekkerman, R.: Extracting social networks and contact information from email and the web (2005)
Fisher, D., Smith, M., Welser, H.: You are who you talk to: Detecting roles in usenet newsgroups. In: Proceedings of the 39th Annual Hawaii International Conference on System Sciences, HICSS 2006, pp. 59b–59b (2006)
Jin, Y., Matsuo, Y., Ishizuka, M.: Extracting social networks among various entities on the web. The Semantic Web: Research and Applications, 251–266 (2007)
Jin, Y., Matsuo, Y., Ishizuka, M.: Ranking Entities on the Web using Social Network Mining and Ranking Learning. Structure 1, 3 (2008)
Kautz, H., Selman, B., Shah, M.: Referral Web: combining social networks and collaborative filtering. Communications of the ACM 40(3), 63–65 (1997)
Kelly, J., Fisher, D., Smith, M.: Friends, foes, and fringe: norms and structure in political discussion networks. In: Proceedings of the 2006 International Conference on Digital Government Research, pp. 21–24 (May 2006)
Matsuo, Y., Mori, J., Hamasaki, M., Nishimura, T., Takeda, H., Hasida, K., Ishizuka, M.: POLYPHONET: an advanced social network extraction system from the web. Web Semantics: Science, Services and Agents on the World Wide Web 5(4), 262–278 (2007)
Mika, P.: Flink: Semantic web technology for the extraction and analysis of social networks. Web Semantics: Science, Services and Agents on the World Wide Web 3(2-3), 211–223 (2005)
Schmid, H.: Probabilistic part-of-speech tagging using decision trees. In: International Conference of New Methods in Language Processing (1994)
Soukoreff, R., MacKenzie, I.: Measuring errors in text entry tasks: an application of the Levenshtein string distance statistic. In: CHI 2001 Extended Abstracts on Human Factors in Computing Systems, pp. 319–320. ACM, New York (2001)
Stavrianou, A.: Modeling and Mining of Web Discussions. Ph.D. thesis, Universit Lumire Lyon 2 (2010)
Welser, H., Gleave, E., Fisher, D., Smith, M.: Visualizing the signatures of social roles in online discussion groups. Journal of Social Structure 8(2) (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Forestier, M., Velcin, J., Zighed, D. (2011). Extracting Social Networks Enriched by Using Text. In: Kryszkiewicz, M., Rybinski, H., Skowron, A., RaÅ›, Z.W. (eds) Foundations of Intelligent Systems. ISMIS 2011. Lecture Notes in Computer Science(), vol 6804. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21916-0_16
Download citation
DOI: https://doi.org/10.1007/978-3-642-21916-0_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21915-3
Online ISBN: 978-3-642-21916-0
eBook Packages: Computer ScienceComputer Science (R0)