方法对比

	Social Network Genealogy	Kinship Network Analysis	社会网络分析
领域	Anthropology	Anthropology	网络分析
方法族	Process / pipeline	Process / pipeline	Machine learning
起源年份	1992	1992	1934 (sociometry); 1994 (modern formalization)
提出者	Douglas R. White & Paul Jorion (network-genealogical approach)	Douglas R. White & Paul Jorion	Moreno, J.L.; formalized by Wasserman & Faust
类型	Reconstruction of social networks from genealogical records	Network-analytic approach to kinship and marriage structure	Structural/relational analysis framework
开创性文献	White, D. R., & Jorion, P. (1992). Representing and computing kinship: A new approach. Current Anthropology, 33(4), 454–462.	White, D. R., & Jorion, P. (1992). Representing and computing kinship: A new approach. Current Anthropology, 33(4), 454–462.	Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1
别名	Genealogical Network Analysis, Network Genealogy, Genealogical Network Reconstruction, Social Network Genealogical Method	Kinship Networks, P-Graph Analysis, Marriage Network Analysis, Network Approach to Kinship	SNA, network analysis, sociometric analysis, relational analysis
相关	2	2	5
摘要	Social network genealogy reconstructs the social structure of a community from genealogical and archival records by representing kin, marriage, and affinal ties as a network and applying social network analysis to it. Built on the network approach to kinship pioneered by White and Jorion, it uses descent and marriage links — often combined with other archival relations — to study cohesion, brokerage, status, and the rise and fall of social groups, especially in historical populations.	Kinship network analysis treats genealogies as graphs and applies network methods to study how marriage and descent structure a society. Pioneered by Douglas White and Paul Jorion's 1992 P-graph approach, it shifts the unit of analysis from the individual ego-centered family tree to the whole web of couples and parent-child links, making it possible to detect marriage rules, alliance patterns, and the circulation of people between groups that conventional kinship diagrams obscure.	Social Network Analysis (SNA) is a structural method that maps and measures relationships and flows between people, groups, organizations, or other entities modeled as nodes connected by ties (edges). Rather than focusing on individual attributes, SNA reveals how the pattern of connections shapes behavior, influence, information flow, and outcomes within a system.