Korean university life in a network perspective: Dynamics of a large affiliation network
AbstractWe investigate course registration data of 18 semesters at a Korean University to portray the time evolution of students’ positions in the network of fellow students. Apart from being a study of the social positions of students, the present work is also an example of how large-scale, time resolved, affiliation networks can be analyzed. For example, we discuss the proper definitions of weights, and propose a redefined weighted clustering coefficient. Among other things, we find that the students enter the network at the center and are gradually diffusing towards the periphery. On the other hand, the ties to the classmates of the first semester will, on average, become stronger as time progresses.
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Bibliographic InfoArticle provided by Elsevier in its journal Physica A: Statistical Mechanics and its Applications.
Volume (Year): 373 (2007)
Issue (Month): C ()
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Web page: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/
Complex networks; Network analysis; Network dynamics; University education;
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- Michel Beine & Paul De Grauwe & Marianna Grimaldi, 2008. "Networks-independent partner selection and the evolution of innovation networks," CREA Discussion Paper Series 08-14, Center for Research in Economic Analysis, University of Luxembourg.
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