विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| केंद्रीयता विश्लेषण× | स्थानिक लैग मॉडल (SAR / स्थानिक ऑटोरिग्रेसिव)× | |
|---|---|---|
| क्षेत्र≠ | नेटवर्क विश्लेषण | स्थानिक विश्लेषण |
| परिवार≠ | Process / pipeline | Regression model |
| उद्भव वर्ष≠ | 1979 | 1988 |
| प्रवर्तक≠ | Linton C. Freeman | Anselin (textbook formalisation); LeSage & Pace |
| प्रकार≠ | Descriptive / exploratory network measure family | Spatial autoregressive regression |
| मौलिक स्रोत≠ | Freeman, L.C. (1979). Centrality in Social Networks: Conceptual Clarification. Social Networks, 1(3), 215-239. DOI ↗ | Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic. DOI ↗ |
| उपनाम | Merkeziyet Analizi (Degree, Betweenness, Eigenvector), node centrality, centrality measures, graph centrality | SAR model, spatial autoregressive model, spatial lag, Uzamsal Gecikme Modeli (SAR / Spatial Lag) |
| संबंधित | 5 | 5 |
| सारांश≠ | Centrality analysis is a family of network-analytic measures, formalized by Freeman (1979), that quantifies the structural importance of individual nodes within a graph. Each centrality index captures a distinct mechanism of influence: degree centrality reflects direct connectivity, betweenness centrality identifies nodes that broker information flow, closeness centrality captures proximity to all others, and eigenvector centrality (along with PageRank) rewards connection to highly connected neighbors. | The Spatial Lag Model is an autoregressive regression that assumes spatial dependence in the dependent variable itself: the outcome values of neighbouring units enter the model as an explanatory term (ρWy). It was formalised in Anselin's Spatial Econometrics (1988) and developed further by LeSage and Pace (2009), and it decomposes spillover effects into direct, indirect, and total impacts. |
| ScholarGateडेटासेट ↗ |
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