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| Dynamic network properties of ICALT, ICWL and ECTEL |
AERCS is a visualization tool for communities of academic events in Computer Science. It is developed and hosted by the Advanced Community Information Systems (ACIS) group at RWTH Aachen University, Germany. Currently, conferences and journals from the DBLP dataset are visualized. Other data sets will be integrated in the future. While this bibliographic data set is quite comprehensive it does not show all publications!
Dynamic network analysis uses time series analysis of networks to explore dynamic patterns of networks such as growth and decay. A typical result of our research is the dynamic comparison of computer science communities. A computer science conference or journal can be compared by time series analysis for typical social network growth patterns like density, diameter, clustering coefficient, largest connected component, average path length and maximum betweenness. In our example above, we compare three major conferences in technology enhanced learning: the EC-TEL, the ICALT and the ICWL community. Here, we visualize the time series analysis of the co-authorship network of the three conferences.
For the co-authorship network, the emergence of the giant component (largest component) indicates the cohesiveness of collaboration within the community, while the betweenness shows the existence of gatekeepers and their importance. The clustering coefficient measures the extent to which the community is clustered into sub-communities. Other parameters such as diameter and average shortest path length, show whether the community is still developing or whether it is stable. A complete analysis of the three communities will be published in a future issue of the Journal of Educational Technology & Society.
Everybody can use this service for comparing journals and conference in computer science by means of dynamic network analysis. Just visit AERCS and test it out!
This service is brought to you by the chair of information systems and databases at RWTH Aachen University.
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