Scientific collaboration networks: how little differences can matter a lot
AbstractEmpirical studies such as Goyal, van der Leij and Moraga (2006) or Newman (2004) show that scientific collaboration networks present a highly unequal and hierarchical distribution of links. This implies that some researchers can be much more active and productive than others and, consequently, they can enjoy a much better scientific eputation. One may think that big intrinsical differences among researchers can constitute the main driving force behind these huge inequalities. We propose a model that show how almost identical individuals self-organize themselves in a very unequal and hierarchical structure as is observed in the real-world co-authorship networks. In consequence, this model provides an incentives-based explanation of that empirical evidence.
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Bibliographic InfoPaper provided by Universitat de les Illes Balears, Departament d'Economía Aplicada in its series DEA Working Papers with number 30.
Date of creation: 2008
Date of revision:
network formation game; scientific collaboration; co-authroship networks; inequality;
Find related papers by JEL classification:
- Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Social and Economic Stratification
- D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
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