Machine learningNetwork science
加权社会网络分析
加权社会网络分析（Weighted Social Network Analysis，简称加权SNA）通过为行动者之间的连接（tie）赋予数值（即权重），以捕捉连接强度、互动频率或资源流动，从而扩展了经典SNA。它不将所有连接视为等同，而是通过关系的强度而非仅仅存在，揭示了谁占据特权地位。
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来源
- Barrat, A., Barthélemy, M., Pastor-Satorras, R., & Vespignani, A. (2004). The architecture of complex weighted networks. Proceedings of the National Academy of Sciences, 101(11), 3747–3752. DOI: 10.1073/pnas.0400087101 ↗
- Opsahl, T., Agneessens, F., & Skvoretz, J. (2010). Node centrality in weighted networks: Generalizing degree and shortest paths. Social Networks, 32(3), 245–251. DOI: 10.1016/j.socnet.2010.03.006 ↗
如何引用本页
ScholarGate. (2026, June 3). Weighted Social Network Analysis (Tie-Strength SNA). ScholarGate. https://scholargate.app/zh/network-analysis/weighted-social-network-analysis
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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