General multistate models for agents with internal bias
Juan G. Diaz Ochoa, Elena Ramirez Barrios
Abstract
We present a model of interpersonal comparisons appearing as a generalization of a multi-state model for elements with internal bias. Within this model agents suffering under dissatisfaction compare them with their neighbors. The internal bias are the pre-formed preferences, and the states are represented by the visual contacts that an agent makes to the baskets of her/his neighbors. The topology of the comparisons is a random network. We compare the behavior between altruistic and non-altruistic agents and we find out that altruistic behavior alters the robustness of the network.
Create a lesson
Related papers
Modelling the complex dynamics of online disinformation cascades
Guillermo Romero Moreno, Valentin Robu, Han La Poutré
A data-driven heuristic-ensemble method for behavioural inference in collective-risk dilemma experiments
Marc Sadurní, Martín F. Díaz, Josep Perelló et al.
Learning Social Influence with Unobserved Attention
William Thompson, Moyi Tian, Linh Huynh et al.
A Gauge-Invariant Clustering Coefficient for Complex-Weighted Bipartite Networks
Anjali Waghmare, Yu Tian, Renaud Lambiotte
Tracking High-Impact Researchers Through Highly Cited Tails
Hirushan Sajindra, Eoin Ó Colgáin
Breaking Behavioral Uniformity in Traffic Flow: Analytical Derivation and Numerical Verification of Optimal Cooperative Buffering
Raphael Korbmacher, Antoine Tordeux