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| Analiza društvenih mreža× | Središnja svojstva stupnja× | |
|---|---|---|
| Područje | Analiza mreža | Analiza mreža |
| Obitelj | Machine learning | Machine learning |
| Godina nastanka≠ | 1934 (sociometry); 1994 (modern formalization) | 1978 |
| Tvorac≠ | Moreno, J.L.; formalized by Wasserman & Faust | Freeman, L. C. |
| Vrsta≠ | Structural/relational analysis framework | Node-level centrality measure |
| Temeljni izvor≠ | Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1 | Freeman, L. C. (1978). Centrality in social networks: Conceptual clarification. Social Networks, 1(3), 215–239. DOI ↗ |
| Drugi nazivi | SNA, network analysis, sociometric analysis, relational analysis | node degree, degree score, DC, connectivity centrality |
| Srodne≠ | 5 | 6 |
| Sažetak≠ | 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. | 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. |
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