8. Dynamic Networks and Behavior: Separating Selection from Influence
University of Groningen · University of Oxford · +1 more institution
Abstract
A recurrent problem in the analysis of behavioral dynamics, given a simultaneously evolving social network, is the difficulty of separating the effects of partner selection from the effects of social influence. Because misattribution of selection effects to social influence, or vice versa, suggests wrong conclusions about the social mechanisms underlying the observed dynamics, special diligence in data analysis is advisable. While a dependable and validmethod would benefit several research areas, according to the best of our knowledge, it has been lacking in the extant literature. In this paper, we present a recently developed family of statistical models that enables researchers to separate the two effects in…
Citation impact
- FWCI
- 46.15
- Percentile
- 100%
- References
- 147
Authors
3Topics & keywords
- Selection (genetic algorithm)
- Friendship
- Social influence
- Extant taxon
- Similarity (geometry)
- Misattribution of memory
- Psychology
- Mechanism (biology)
- Good health and well-being