Related Experiment Video
Updated: Dec 21, 2025

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
Published on: May 31, 2019
Cumulative effects of triadic closure and homophily in social networks
Aili Asikainen1, Gerardo Iñiguez2,1,3,4, Javier Ureña-Carrión1
1Department of Computer Science, School of Science, Aalto University, FI-00076, Finland.
Abstract:
Social network structure has often been attributed to two network evolution mechanisms-triadic closure and choice homophily-which are commonly considered independently or with static models. However, empirical studies suggest that their dynamic interplay generates the observed homophily of real-world social networks. By combining these mechanisms in a dynamic model, we confirm the longheld hypothesis that choice homophily and triadic closure cause induced homophily. We estimate how much observed homophily in friendship and communication networks is amplified due to triadic closure. We find that cumulative effects of homophily amplification can also lead to the widely documented core-periphery structure of networks, and to memory of homophilic constraints (equivalent to hysteresis in physics). The model shows that even small individual bias may prompt network-level changes such as segregation or core group dominance. Our results highlight that individual-level mechanisms should not be analyzed separately without considering the dynamics of society as a whole.
More Related Videos
Related Concept Videos
Relationship Formation
Factors Influencing Attraction I: Proximity
Causes of Similarity-Dissimilarity Effect
Factors Influencing Attraction IV: Reciprocity
Friendships and Close Friendships
Social Relationships and Well-Being

