विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| नेटवर्क प्रसार विश्लेषण× | सामाजिक नेटवर्क विश्लेषण× | |
|---|---|---|
| क्षेत्र | नेटवर्क विश्लेषण | नेटवर्क विश्लेषण |
| परिवार | Machine learning | Machine learning |
| उद्भव वर्ष≠ | 1927 (epidemic roots); network formalization 1990s–2000s | 1934 (sociometry); 1994 (modern formalization) |
| प्रवर्तक≠ | Kermack, W. O. & McKendrick, A. G. | Moreno, J.L.; formalized by Wasserman & Faust |
| प्रकार≠ | Simulation / analytical model | Structural/relational analysis framework |
| मौलिक स्रोत≠ | Kermack, W. O. & McKendrick, A. G. (1927). A contribution to the mathematical theory of epidemics. Proceedings of the Royal Society of London A, 115(772), 700–721. DOI ↗ | Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1 |
| उपनाम | diffusion on networks, information diffusion, contagion spreading model, network propagation model | SNA, network analysis, sociometric analysis, relational analysis |
| संबंधित | 5 | 5 |
| सारांश≠ | Network diffusion analysis models how information, diseases, behaviors, or innovations spread across a graph of nodes and edges. Drawing on classical epidemic theory (SI, SIR, SIS) and modern network science, it tracks which nodes become infected, how quickly, and whether the spread reaches a global cascade or dies out locally. | 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. |
| ScholarGateडेटासेट ↗ |
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