Evolution of the CAiSE Author Community: A Social Network Analysis

The CAiSE community has always prided itself as more than just a normal conference – a successful social network with a very special culture. In this chapter, we apply formal social network analysis to study this community and its evolution of its first quarter-centennial of existence. Using a methodology and dataset developed for an analysis of Computer Science as a whole, we demonstrate the unusual positioning of CAiSE as a quasi-interdisciplinary conference between several sub-disciplines of Computer Science. We show that under an evolution model developed in our research CAiSE pursues a very successful and promising path, and we identify key topics and key players among the CAiSE authors. As the social network analysis focusses on formal aspects such as co-authorship and citations, we unfortunately must leave out one of the undoubtedly most critical success factors: the fun of being in the CAiSE community.

[1]  Michael Derntl,et al.  Development Patterns of Scientific Communities in Technology Enhanced Learning , 2012, J. Educ. Technol. Soc..

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

[3]  David Barton,et al.  LEARNING IN DOING , 2005 .

[4]  Rajeev Motwani,et al.  The PageRank Citation Ranking : Bringing Order to the Web , 1999, WWW 1999.

[5]  Andrew McCallum,et al.  Efficient clustering of high-dimensional data sets with application to reference matching , 2000, KDD '00.

[6]  M E J Newman,et al.  Fast algorithm for detecting community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[7]  Christos Faloutsos,et al.  Graphs over time: densification laws, shrinking diameters and possible explanations , 2005, KDD '05.

[8]  Etienne Wenger,et al.  Situated Learning: Legitimate Peripheral Participation , 1991 .

[9]  Mathieu Bastian,et al.  Gephi: An Open Source Software for Exploring and Manipulating Networks , 2009, ICWSM.

[10]  E. Wenger,et al.  Cultivating Communities of Practice: A Guide to Managing Knowledge , 2002 .

[11]  Manh Cuong Pham Dynamic social network analysis and recommender technologies in scientific communities: the case of computer science , 2013 .

[12]  Matthias Jarke,et al.  Development of computer science disciplines: a social network analysis approach , 2011, Social Network Analysis and Mining.

[13]  Ralf Klamma,et al.  The Structure of the Computer Science Knowledge Network , 2010, 2010 International Conference on Advances in Social Networks Analysis and Mining.