  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.
