Empirical analysis of an evolving social network

被引:913
作者
Kossinets, G
Watts, DJ
机构
[1] Columbia Univ, Dept Sociol, New York, NY 10027 USA
[2] Columbia Univ, Inst Social & Econ Res & Policy, New York, NY 10027 USA
[3] Santa Fe Inst, Santa Fe, NM 87501 USA
关键词
Social aspects;
D O I
10.1126/science.1116869
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Social networks evolve over time, driven by the shared activities and affiliations of their members, by similarity of individuals' attributes, and by the closure of short network cycles. We analyzed a dynamic social network comprising 43,553 students, faculty, and staff at a large university, in which interactions between individuals are inferred from time-stamped e-mail headers recorded over one academic year and are matched with affiliations and attributes. We found that network evolution is dominated by a combination of effects arising from network topology itself and the organizational. structure in which the network is embedded. In the absence of global perturbations, average network properties appear to approach an equilibrium state, whereas individual properties are unstable.
引用
收藏
页码:88 / 90
页数:3
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