विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| अहं-नेटवर्क विश्लेषण× | लिंक प्रेडिक्शन× | |
|---|---|---|
| क्षेत्र | नेटवर्क विश्लेषण | नेटवर्क विश्लेषण |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 1992 (Burt); foundational measurement formalised by Marsden 2002 | 2003 |
| प्रवर्तक≠ | Ronald S. Burt (structural holes framework); Peter V. Marsden (egocentric measures) | — |
| प्रकार≠ | Descriptive / relational network analysis | Network inference task |
| मौलिक स्रोत≠ | Burt, R.S. (1992). Structural Holes: The Social Structure of Competition. Harvard University Press. ISBN: 9780674843714 | Liben-Nowell, D. & Kleinberg, J. (2007). The Link-Prediction Problem for Social Networks. Journal of the American Society for Information Science and Technology, 58(7), 1019-1031. DOI ↗ |
| उपनाम≠ | personal network analysis, egocentric network analysis, Ego Ağı Analizi (Personal Network Analysis) | Bağlantı Tahmini (Link Prediction), missing link prediction, future link prediction, edge prediction |
| संबंधित≠ | 6 | 5 |
| सारांश≠ | Ego network analysis examines the personal network of a focal individual — the ego — by mapping their direct contacts (alters) and the ties those contacts share with one another. Formalised through Ronald Burt's structural holes framework (1992) and Marsden's egocentric measurement approach (2002), the method produces ego-level indicators such as network size, density, constraint, and brokerage role that reveal how each individual's social position shapes their access to information, resources, and influence. | Link prediction is a network-analysis task that estimates which edges are missing from an observed graph or which edges are likely to form in the future. Formalised by Liben-Nowell and Kleinberg (2003, 2007), it covers a spectrum of approaches — from simple structural similarity indices such as Common Neighbors, Jaccard coefficient, and Adamic-Adar, to matrix factorisation, and graph neural network (GNN) methods — and is evaluated with AUC and Average Precision to account for the heavily imbalanced ratio of real to non-existing edges. |
| ScholarGateडेटासेट ↗ |
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