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| Μετακεντρικότητα× | Ανάλυση Κοινωνικών Δικτύων× | |
|---|---|---|
| Πεδίο | Ανάλυση Δικτύων | Ανάλυση Δικτύων |
| Οικογένεια | Machine learning | Machine learning |
| Έτος προέλευσης≠ | 1977 | 1934 (sociometry); 1994 (modern formalization) |
| Δημιουργός≠ | Freeman, L. C. | Moreno, J.L.; formalized by Wasserman & Faust |
| Τύπος≠ | Centrality measure | Structural/relational analysis framework |
| Θεμελιώδης πηγή≠ | Freeman, L. C. (1977). A set of measures of centrality based on betweenness. Sociometry, 40(1), 35–41. DOI ↗ | Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1 |
| Εναλλακτικές ονομασίες | Freeman betweenness, BC, geodesic betweenness, shortest-path betweenness | SNA, network analysis, sociometric analysis, relational analysis |
| Συναφείς≠ | 6 | 5 |
| Σύνοψη≠ | Betweenness centrality, formalized by Linton C. Freeman in 1977, measures how often a node lies on the shortest path connecting every other pair of nodes in a network. High-betweenness nodes act as bridges or brokers: removing them fragments the network into disconnected components more severely than removing any other nodes. | 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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