Aggregation and clustering of the multi-agent dynamics with density-dependent influence

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초록

Motivated by the demographic effects, we propose and analyze a novel opinion dynamics model with density-dependent interactions and a nonlinear communication function reminiscent of the celebrated Hegselmann-Krause (H-K) model. The model also incorporates heterogeneity through intrinsic opinion tendencies, leading to richer dynamics. In the homogeneous case, where all agents share the same intrinsic tendency, the relative dissimilarities between opinions converge to zero and a single cluster forms. In contrast, under heterogeneous tendencies, we prove that multiple clusters emerge together with velocity alignment within each cluster, provided suitable structural conditions on the system parameters. These theoretical findings are further supported by numerical simulations, which offer qualitative insights beyond the analytical results.

키워드

Opinion consensusAdaptive couplingDensity-dependent influenceCollective behaviorClusteringMEAN-FIELD LIMITGLOBAL WELL-POSEDNESSCUCKER-SMALE MODELUNIFORM STABILITYKURAMOTO OSCILLATORSASYMPTOTIC-BEHAVIOREMERGENT BEHAVIORPARTICLEFLOCKINGSPHERE
제목
Aggregation and clustering of the multi-agent dynamics with density-dependent influence
저자
Kang, MyeongjuKim, DohyunMoon, BoraPark, Jinyeong
DOI
10.1016/j.nonrwa.2026.104722
발행일
2027-04
유형
Article
저널명
Nonlinear Analysis: Real World Applications
94