Existing collaboration and innovation in scientific communities can be enhanced by understanding the underlying patterns und hidden relations. Social network analysis is an appropriate method to reveal such patterns. Nevertheless, research in this area is mainly focused on social networks. One promising approach is to use homophily networks as well. Furthermore, extending the static to a dynamic network model enables to understand existing interdependencies in these networks. A mathematical description of possible analyses is given. Finally, resulting research questions are illustrated and the necessity of an interdisciplinary research approach is pointed out.
@InProceedings{batagelj_et_al:DagSemProc.08391.5, author = {Batagelj, Vladimir and Hoser, Bettina and M\"{u}ller, Claudia and Staab, Steffen and Stumme, Gerd}, title = {{08391 Group Summary – The Evolution and Dynamics of Research Networks}}, booktitle = {Social Web Communities}, pages = {1--8}, series = {Dagstuhl Seminar Proceedings (DagSemProc)}, ISSN = {1862-4405}, year = {2008}, volume = {8391}, editor = {Harith Alani and Steffen Staab and Gerd Stumme}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08391.5}, URN = {urn:nbn:de:0030-drops-17906}, doi = {10.4230/DagSemProc.08391.5}, annote = {Keywords: Homophily networks, social networks, evolution, scientific community} }
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