Abstract
We extend multi-level models to examine single egocentric network ties to the joint analysis of paired dynamic ties. Two analytic challenges are addressed. First, inference needs to account for multiple layers of nesting: ties are nested within pairs, pairs are nested within time points, and time points are nested within egos. Second, the focus is on the relationship between two dynamic ties; specification of outcome and predictor may be difficult. Instead, we treat both ties as outcomes. Our approach is used to analyze trust and reported drug use between egos and alters over time in a Bayesian framework.
Original language | English (US) |
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Pages (from-to) | 691-700 |
Number of pages | 10 |
Journal | Social Networks |
Volume | 34 |
Issue number | 4 |
DOIs | |
State | Published - Oct 2012 |
Keywords
- Bayesian inference
- Dyadic analysis
- Dynamic networks
- Egocentric data
- Longitudinal bivariate regression
ASJC Scopus subject areas
- Anthropology
- Sociology and Political Science
- General Social Sciences
- General Psychology