Machine learningNetwork science
度中心性
度中心性是衡量节点在网络中重要性的最简单、最直观的度量,定义为节点拥有的直接连接数。通过除以最大可能连接数进行归一化,它可以跨不同大小的网络进行比较,并且几乎是所有网络分析的起点。
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Method map
The neighbourhood of related methods — select a node to explore.
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来源
- Freeman, L. C. (1978). Centrality in social networks: Conceptual clarification. Social Networks, 1(3), 215–239. DOI: 10.1016/0378-8733(78)90021-7 ↗
- Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1
如何引用本页
ScholarGate. (2026, June 3). Degree Centrality (Freeman Node Connectivity Measure). ScholarGate. https://scholargate.app/zh/network-analysis/degree-centrality
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.
- 中间性中心度网络分析↔ compare
- 接近中心性网络分析↔ compare
- 特征向量中心性网络分析↔ compare
- 模块度分析网络分析↔ compare
- 社会网络分析网络分析↔ compare
- 加权度中心性网络分析↔ compare