The paper introduces a simulation framework that models the flow of information across a directed network comprising five distinct clusters (A, Ν, Ξ, Π, and Ρ) with unique communication behaviors and roles. The key features of the approach include:
Cluster A unilaterally sends information, Cluster Ν passively receives, Cluster Ξ observes and disseminates, Cluster Π blocks information, and Cluster Ρ issues alerts to disrupt Cluster A.
The simulation incorporates positive and negative media influences that dynamically impact the message counts of the clusters over time.
Dynamic k-core analysis is used to reveal the structural robustness and core areas of influence within the evolving network.
The results provide insights into the cyclical nature of influence and the propagation of information, with potential applications in detecting and mitigating unilateral communication patterns that could signal harmful activities such as online predation. The approach showcases the value of integrating network theory, simulation modeling, and dynamic media influence analysis to explore the complexities of unilateral preference communication within social networks.
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