Structural correlation between communities and core-periphery structures in social networks: Evidence from Twitter data
Structural correlation between communities and core-periphery structures in social networks: Evidence from Twitter data
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DOI：
10.1016/j.eswa.2017.12.042
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发表时间：
2017-12
期刊：
影响因子：
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通讯作者：
Jinfeng Yang;Min Zhang-;K. Shen;Xiaofeng Ju;Xitong Guo
中科院分区：
文献类型：
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作者：
Jinfeng Yang;Min Zhang-;K. Shen;Xiaofeng Ju;Xitong Guo
Twitter和Facebook等社交媒体已经成为企业和个人的重要场所。行动者之间的社会互动导致中尺度亚群体结构的形成，如社区。社区检测是社会网络分析的一项经典任务。最近出现了另一种中尺度结构，称为核心-外围。现有的许多研究将群落与核心-边缘结构区分开来，并采用完全不同的方法分别执行这两项任务。这两种中尺度结构都可以归因于社会网络中行为者的不平等影响和不对称互动。本研究试图将群落与核心-边缘结构统一起来，将两个子群结构视为同一事物，群落结构表征子群的边界，核心-边缘结构表征子群的内部结构。对一个月的twitter数据进行了实验，结果可以提供社会社区始终存在核心-外围结构的经验证据。
Social media, such as Twitter and Facebook, have become important venues for business and individuals. Social interactions between actors result in the formation of meso‑scale subgroup structures, such as communities. Community detection is a classic task of social network analysis. Identification of another meso‑scale structure, named core-periphery, arises recently. Much existing research discriminated communities from core-periphery structures, and performed the two tasks individually by completely different methodologies. The two meso‑scale structures can both attribute to unequal influence and asymmetric interactions of actors in social networks. This research tries to unify communities and core-periphery structures by regarding the two subgroup structures as the same thing, by which community structure characterizes the boundary of a subgroup and core-periphery structure characterizes its internal structure. Experiments are conducted on one-month twitter data, and results can provide empirical evidences that social communities always have core-periphery structures.