方法对比

	接近中心性	度中心性
领域	网络分析	网络分析
方法族	Machine learning	Machine learning
起源年份	1950 (formalized 1979)	1978
提出者	Bavelas, A.; formalized by Freeman, L. C.	Freeman, L. C.
类型	Node-level centrality index	Node-level centrality measure
开创性文献	Freeman, L. C. (1979). Centrality in social networks: Conceptual clarification. Social Networks, 1(3), 215–239.	Freeman, L. C. (1978). Centrality in social networks: Conceptual clarification. Social Networks, 1(3), 215–239.
别名	closeness, farness-based centrality, geodesic closeness, normalized closeness centrality	node degree, degree score, DC, connectivity centrality
相关	6	6
摘要	Closeness centrality measures how quickly a node can reach all others in a network by computing the inverse of its average shortest-path distance to every other node. First described by Bavelas (1950) and formally unified by Freeman (1979), it identifies nodes that can spread information or resources efficiently across the entire graph — not merely nodes with many direct contacts.	Degree centrality is the simplest and most intuitive measure of a node's importance in a network, defined as the number of direct ties a node has to other nodes. Normalized by dividing by the maximum possible ties, it allows comparison across networks of different sizes and is the starting point of almost every network analysis.