基于Circle Link的时间社交网络语境关系测量
Measuring Contextual Relationships in Temporal Social Networks by Circle Link
摘要：
网络科学在基于静态拓扑信息的社会网络分析中发挥了其独特的作用。在现实中，社会交往是动态的，并在时间上同时演变。如今，它们可以被无处不在的信息技术记录下来，并生成为时间社交网络，为社会现实挖掘提供了新的视角。本文通过定义\emph{circle link}来度量三个经验性社会时间网络中的语境关系，发现与共同好友有频繁持续互动的朋友倾向于亲近，这可以被认为是时间社交网络中Grananetter假设的扩展。最后，我们提出了一个启发式的方法，基于圆链接预测关系，并获得了可接受的结果。
英文摘要：
Network science has released its talents in social network analysis based on the information of static topologies. In reality social contacts are dynamic and evolve concurrently in time. Nowadays they can be recorded by ubiquitous information technologies, and generated into temporal social networks to provide new sights in social reality mining. Here, we define \emph{circle link} to measure contextual relationships in three empirical social temporal networks, and find that the tendency of friends having frequent continuous interactions with their common friend prefer to be close, which can be considered as the extension of Granovetter's hypothesis in temporal social networks. Finally, we present a heuristic method based on circle link to predict relationships and acquire acceptable results.
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