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| Χρονική Ανάλυση Κοινωνικών Δικτύων× | Ανάλυση Κοινωνικών Δικτύων× | |
|---|---|---|
| Πεδίο | Ανάλυση Δικτύων | Ανάλυση Δικτύων |
| Οικογένεια | Machine learning | Machine learning |
| Έτος προέλευσης≠ | 2000s–2010s | 1934 (sociometry); 1994 (modern formalization) |
| Δημιουργός≠ | Moody, J.; Holme, P.; Saramäki, J. | Moreno, J.L.; formalized by Wasserman & Faust |
| Τύπος≠ | Longitudinal network analysis | Structural/relational analysis framework |
| Θεμελιώδης πηγή≠ | 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 |
| Εναλλακτικές ονομασίες | TSNA, longitudinal social network analysis, time-varying network analysis, dynamic SNA | SNA, network analysis, sociometric analysis, relational analysis |
| Συναφείς≠ | 4 | 5 |
| Σύνοψη≠ | Temporal Social Network Analysis (TSNA) extends classic social network analysis by treating networks as time-varying structures. Rather than aggregating all ties into a single static snapshot, TSNA tracks when ties form, persist, and dissolve, enabling researchers to study how social structures evolve and how dynamic connectivity shapes diffusion, influence, and inequality over time. | 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. |
| ScholarGateΣύνολο δεδομένων ↗ |
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