期刊
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
卷 390, 期 23-24, 页码 4627-4635出版社
ELSEVIER
DOI: 10.1016/j.physa.2011.06.072
关键词
Social network; Diversity; DBLP; Scientific collaboration network
资金
- National Natural Science Foundation of China [61003001, 71071098, 60703093]
- Specialized Research Fund for the Doctoral Program of Higher Education [20100071120032]
- Natural Science Foundation of Jiangsu Province [BK2009153, BK2010280, 61033010]
- Ministry of Science and Technology of China [2010ZX01042-003-004]
Diversity is one of the important perspectives to characterize behaviors of individuals in social networks. It is intuitively believed that diversity of social ties accounts for competition advantage and idea innovation. However, quantitative evidences in a real large social network can be rarely found in the previous research. Thanks to the availability of scientific publication records on WWW; now we can construct a large scientific collaboration network, which provides us a chance to gain insight into the diversity of relationships in a real social network through statistical analysis. In this article, we dedicate our efforts to perform empirical analysis on a scientific collaboration network extracted from DBLP, an online bibliographic database in computer science, in a systematical way, finding the following: distributions of diversity indices tend to decay in an exponential or Gaussian way; diversity indices are not trivially correlated to existing vertex importance measures; authors of diverse social ties tend to connect to each other and these authors are generally more competitive than others. (C) 2011 Elsevier BM. All rights reserved.
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