Empirical analysis of an evolving social network
Empirical analysis of an evolving social network
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DOI：
10.1126/science.1116869
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发表时间：
2006-01-06
期刊：
影响因子：
56.9
通讯作者：
Watts, DJ
中科院分区：
文献类型：
--
作者：
Kossinets, G;Watts, DJ
社交网络随着时间的推移而发展，由其成员的共享活动和从属关系，个人属性的相似性以及短网络周期的闭合所驱动。我们分析了一个由43,553名学生、教师和一所大型大学的工作人员组成的动态社交网络，其中个人之间的互动是从一个学年内记录的带有时间戳的电子邮件标题中推断出来的，并与从属关系和属性相匹配。我们发现，网络的演变是由网络拓扑结构本身和组织的组合所产生的影响。网络嵌入的结构。在没有全局扰动的情况下，平均网络属性似乎接近平衡状态，而个别属性是不稳定的。
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.