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| Relational Event Model× | Analyse sozialer Netzwerke× | |
|---|---|---|
| Fachgebiet≠ | Sociology | Netzwerkanalyse |
| Familie≠ | Regression model | Machine learning |
| Entstehungsjahr≠ | 2008 | 1934 (sociometry); 1994 (modern formalization) |
| Urheber≠ | Carter T. Butts | Moreno, J.L.; formalized by Wasserman & Faust |
| Typ≠ | Event-history model for time-stamped relational events | Structural/relational analysis framework |
| Wegweisende Quelle≠ | Butts, C. T. (2008). A relational event framework for social action. Sociological Methodology, 38(1), 155–200. DOI ↗ | Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1 |
| Aliasnamen | REM, relational event framework, dynamic network event model, event-history network model | SNA, network analysis, sociometric analysis, relational analysis |
| Verwandt≠ | 4 | 5 |
| Zusammenfassung≠ | The relational event model (REM), introduced by Carter Butts in 2008, analyzes streams of time-stamped interactions — emails, radio calls, messages, citations — as a continuous-time event-history process. Rather than treating a network as a static set of ties, it models the instantaneous rate at which any sender directs an action at any receiver as a function of the history of past events, letting researchers test how prior interaction shapes future interaction. | 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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