Modelling the User Modelling Community (and Other Communities as Well)

Discovering and modelling research communities’ activities is a task that can lead to a more effective scientific process and support the development of new technologies. Journals and conferences already offer an implicit clusterization of researchers and research topics, and social analysis techniques based on co-authorship relations can highlight hidden relationships among researchers, however, little work has been done on the actual content of publications. We claim that a content-based analysis on the full text of accepted papers may lead to a better modelling and understanding of communities’ activities and their emerging trends. In this work we present an extensive case study of research community modelling based upon the analysis of over 450 events and 7000 papers.

[1]  M E J Newman,et al.  Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[2]  M E Newman,et al.  Scientific collaboration networks. I. Network construction and fundamental results. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[3]  Carlo Tasso,et al.  A New Multi-lingual Knowledge-base Approach to Keyphrase Extraction for the Italian Language , 2014, KDIR.

[4]  Ellen J. Cramer,et al.  VIVO: Enabling National Networking of Scientists , 2010, IASSIST.

[5]  M. Newman,et al.  The structure of scientific collaboration networks. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[6]  Martin Suter,et al.  Small World , 2002 .

[7]  A. Barabasi,et al.  Evolution of the social network of scientific collaborations , 2001, cond-mat/0104162.

[8]  Warren Sack,et al.  Conversation map: a content-based Usenet newsgroup browser , 2000, IUI '00.

[9]  Aldo Gangemi,et al.  A Comparison of Knowledge Extraction Tools for the Semantic Web , 2013, ESWC.

[10]  Thomas Hofmann,et al.  Probabilistic Latent Semantic Indexing , 1999, SIGIR Forum.

[11]  Daniel Gatica-Perez,et al.  Discovering groups of people in Google news , 2006, HCM '06.

[12]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[13]  Paola Velardi,et al.  A New Content-Based Model for Social Network Analysis , 2008, 2008 IEEE International Conference on Semantic Computing.