In this paper, there are three policy scenarios that are explored and discussed. The
first scenario comes from a dataset where little information is known about individual nodes and connection weights are placed based on the economic theory of increasing or constant returns. The second dataset was derived by taking a group of academic researchers (without any knowledge beyond co authorship alliances)
working on a joint venture and exploring what combined research ventures would be
most beneficial for future research outputs. More information concerning individual
nodes and connections is given in this dataset, but the weights on connections are still developed according to rules of economic theory. The final set of data is developed by
viewing the same co-authorship alliances as in the second scenario, but instead the data is
examined more thoroughly and more accurate maps of authors connection weights are
generated.
| Identifer | oai:union.ndltd.org:GATECH/oai:smartech.gatech.edu:1853/5094 |
| Date | 27 July 2004 |
| Creators | Burks, Stephen D. |
| Publisher | Georgia Institute of Technology |
| Source Sets | Georgia Tech Electronic Thesis and Dissertation Archive |
| Language | en_US |
| Detected Language | English |
| Type | Thesis |
| Format | 1672523 bytes, application/pdf |
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