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Social balance theory

Class of theories

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  • 2 chapters

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Through Social network, Theory and Group dynamics

Development of the theory

This theory evolved over time to produce models more closely resembling real-world social networks. It uses a balance index to measure the effect of local balance on that of a global level and also on a more intimate level, like in interpersonal relationships. Dorwin Cartwright and Frank Harary introduced clustering to account for multiple social cliques. Davis introduced hierarchical clustering to account for asymmetric relations.

The topology and hubness of positive and negative links have been shown to significantly affect the structural balance of real-world signed networks. This property is explainable in terms of the high degree of skewness of the sign distributions on the nodes of the graph.

The dynamics of relationships have been modeled to explore the finite states of social networks, ranging from an idealized "paradise," where all links represent friendships, to social bipolarity. The energy landscape of social relationships has been conceptualized using interacting spin models, based on the contrast between balanced and imbalanced relationships in social networks. This framework has also been applied to the study of brain network dynamics, providing insights into the mechanisms underlying cognitive and brain systems and contributing to the development of improved neurobiomarkers.

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