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Structural Balance via Gradient Flows Over Signed Graphs
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DOI：10.1109/TAC.2020.3018435.png)
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Abstract
En 中文
Structural balance is a classic property of signed graphs satisfying Heider's seminal axioms. Mathematical sociologists have studied balance theory since its inception in the 1940s. Recent research has focused on the development of dynamic models explaining the emergence of structural balance. In this article, we introduce a novel class of parsimonious dynamic models for structural balance based on an interpersonal influence process. Our proposed models are gradient flows of an energy function, called the dissonance function, which captures the cognitive dissonance arising from the violations of Heider's axioms. Thus, we build a new connection with the literature on energy landscape minimization. This gradient-flow characterization allows us to study the transient and asymptotic behaviors of our model. We provide mathematical and numerical results describing the critical points of the dissonance function.
Keywords:
Appraisal
Numerical models
Mathematical model
Computational modeling
Convergence
Analytical models
Dynamical systems
Gradient flow
signed network
social dynamics
structural balance
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