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| Core-Periphery Analysis× | Analiza sieci społecznych× | |
|---|---|---|
| Dziedzina≠ | Sociology | Analiza sieci |
| Rodzina≠ | Process / pipeline | Machine learning |
| Rok powstania≠ | 2000 | 1934 (sociometry); 1994 (modern formalization) |
| Twórca≠ | Stephen Borgatti & Martin Everett | Moreno, J.L.; formalized by Wasserman & Faust |
| Typ≠ | Network partition into a dense core and a sparse periphery | Structural/relational analysis framework |
| Źródło pierwotne≠ | Borgatti, S. P., & Everett, M. G. (2000). Models of core/periphery structures. Social Networks, 21(4), 375–395. DOI ↗ | Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1 |
| Inne nazwy | core/periphery model, Borgatti-Everett core-periphery, core-periphery structure detection, coreness analysis | SNA, network analysis, sociometric analysis, relational analysis |
| Pokrewne | 5 | 5 |
| Podsumowanie≠ | Core/periphery analysis partitions a network into a densely interconnected core of actors and a sparse periphery whose members connect to the core but not to one another. Formalized by Borgatti and Everett, the method fits the observed adjacency matrix to an idealized block pattern — a fully connected core block, an empty periphery block, and core–periphery blocks of intermediate density — to test whether and how strongly a network exhibits this canonical mesoscale structure. | 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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