Machine learningNetwork science
Social Network Analysis
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.
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Sources
- Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1
- Scott, J. (2017). Social Network Analysis (4th ed.). SAGE Publications. ISBN: 978-1-4739-5515-1
Related methods
Referenced by
Bayesian Community DetectionBayesian Ego Network AnalysisBayesian Network Diffusion AnalysisBayesian Social Network AnalysisBetweenness CentralityBipartite Network AnalysisCloseness CentralityDegree CentralityDirected Community DetectionDirected Ego Network AnalysisDirected Network Diffusion AnalysisDirected Social Network AnalysisDynamic Ego Network AnalysisDynamic Two-Mode Network AnalysisEigenvector CentralityKnowledge Graph AnalysisModularity AnalysisMultilayer Knowledge Graph AnalysisMultilayer Network Diffusion AnalysisMultilayer Social Network AnalysisMultilayer Two-Mode Network AnalysisMultiplex Network AnalysisNetwork Diffusion AnalysisNetwork Motif AnalysisTemporal Community DetectionTemporal Multiplex Network AnalysisTemporal Network AnalysisTemporal Social Network AnalysisTemporal Two-Mode Network AnalysisTwo-mode Network AnalysisWeighted Betweenness CentralityWeighted Community DetectionWeighted Degree CentralityWeighted Ego Network AnalysisWeighted PageRankWeighted Social Network Analysis