Related Experiment Video
Updated: Mar 7, 2026

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
Published on: May 31, 2019
Dyad vs. network effects: Modeling relationships in personal networks using contextual effects
1NORC at the University of Chicago, 1155 E 60th Street, Chicago, IL 60637, USA.
Abstract:
This paper proposes using contextual models to disentangle the effects of dyad characteristics from the effects of characteristics of the networks in which they reside. Multilevel models that nest dyads in personal networks can be coded for contextual analysis by entering both the dyad value of a predictor and the network mean of that predictor into the prediction equation. These models can then be used to measure a within-network effect for dyads and a network contextual effect. This paper conducts an example analysis of how dyad redundancy, and the network's average dyad redundancy, impact discussions of job opportunities. The findings suggest that the dyad and network effects of redundancy are in opposite directions: redundancy has a positive effect at the dyad level and a negative effect at the network level when predicting number of jobs discussed. These results support the major social capital tenets of closure and brokerage, respectively.
More Related Videos
10:44Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
Published on: December 7, 2021
09:01A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
Published on: May 7, 2014
Related Concept Videos
Impact of Social Context on Individuals
Relationship Formation
Factors Influencing Attraction I: Proximity
Social Exchange Theory
Social Exchange Theory
Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model