Co-evolution of Opinion and Social Tie Dynamics Towards Structural Balance
Haotian Wang, Feng Luo, Jie Gao

TL;DR
This paper introduces a co-evolution model for opinions and social ties, analyzing long-term behaviors like structural balance and opinion convergence, with explicit solutions in special cases.
Contribution
It provides a theoretical framework for understanding how opinions and social relationships co-evolve towards balance or neutral states, including explicit solutions for specific initial conditions.
Findings
Edge weights tend to stabilize with positive or negative signs.
The system reaches structural balance or opinions decay to zero.
Explicit solutions are derived when initial opinions align with eigenvectors of initial weights.
Abstract
In this paper, we propose co-evolution models for both dynamics of opinions (people's view on a particular topic) and dynamics of social appraisals (the approval or disapproval towards each other). Opinion dynamics and dynamics of signed networks, respectively, have been extensively studied. We propose a co-evolution model, where each vertex in the network has a current opinion vector and each edge has a weight that models the relationship between . The system evolves as the opinions and edge weights are updated over time by the following rules, Opinion Dynamics and Appraisal Dynamics. We are interested in characterizing the long-time behavior of the dynamic model -- i.e., whether edge weights evolve to have stable signs (positive or negative) and structural balance (the multiplication of weights on any triangle is non-negative). Our main theoretical…
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Taxonomy
TopicsOpinion Dynamics and Social Influence · Complex Network Analysis Techniques · Quantum many-body systems
