विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| टेम्पोरल नेटवर्क एनालिसिस× | सामाजिक नेटवर्क विश्लेषण× | |
|---|---|---|
| क्षेत्र | नेटवर्क विश्लेषण | नेटवर्क विश्लेषण |
| परिवार≠ | Process / pipeline | Machine learning |
| उद्भव वर्ष≠ | 2012 | 1934 (sociometry); 1994 (modern formalization) |
| प्रवर्तक≠ | Holme & Saramäki (2012) — seminal framework | Moreno, J.L.; formalized by Wasserman & Faust |
| प्रकार≠ | Dynamic graph analysis | Structural/relational analysis framework |
| मौलिक स्रोत≠ | Holme, P. & Saramäki, J. (2012). Temporal Networks. Physics Reports, 519(3), 97-125. DOI ↗ | Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1 |
| उपनाम≠ | dynamic network analysis, time-varying network analysis, Zamansal Ağ Analizi (Temporal / Dynamic Networks) | SNA, network analysis, sociometric analysis, relational analysis |
| संबंधित≠ | 3 | 5 |
| सारांश≠ | Temporal network analysis, formalised by Holme and Saramäki in their landmark 2012 Physics Reports survey, is the study of networks in which edges appear and disappear over time. Rather than collapsing all contacts into a single static graph, the approach preserves the precise timing of interactions — whether as contact sequences, time-stamped event lists, or windowed snapshots — and uses that timing to track how influence, disease, or information can actually propagate through the system. | 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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