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| Stochastic Actor-Oriented Model× | Homophily Analysis× | |
|---|---|---|
| Field | Sociology | Sociology |
| Family≠ | Machine learning | Process / pipeline |
| Year of origin≠ | 2001 | 1954 (concept); 2001 (synthesis) |
| Originator≠ | Tom A. B. Snijders | Lazarsfeld & Merton (concept); McPherson, Smith-Lovin & Cook (synthesis) |
| Type≠ | Continuous-time model for longitudinal network and behavior dynamics | Measurement of similarity-based tie formation |
| Seminal source≠ | Snijders, T. A. B. (2001). The statistical evaluation of social network dynamics. Sociological Methodology, 31(1), 361–395. DOI ↗ | McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001). Birds of a feather: homophily in social networks. Annual Review of Sociology, 27, 415–444. DOI ↗ |
| Aliases | SAOM, actor-based model, stochastic actor-based model, SIENA model | homophily measurement, assortative mixing analysis, birds-of-a-feather analysis, tie-similarity analysis |
| Related | 4 | 4 |
| Summary≠ | The stochastic actor-oriented model (SAOM), implemented in the SIENA software, is a framework for analyzing the dynamics of social networks observed at two or more time points. It treats observed network panels as snapshots of an unobserved continuous-time process in which actors, at stochastically timed moments, evaluate their local network and decide whether to create, maintain, or drop a tie so as to improve their position according to an objective function. | Homophily analysis quantifies the tendency of similar individuals to form ties — the principle that 'birds of a feather flock together'. It compares the rate at which people connect with others who share an attribute (race, gender, age, education, attitudes) against what would be expected by chance, distinguishing the homophily that arises merely from group sizes from the genuine, behavior-driven preference for similar others. |
| ScholarGateDataset ↗ |
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