Binary opinion dynamics with stubborn agents
WebJan 15, 2024 · Opinion dynamics is an opinion evolution process of a group of agents, where the final opinion distribution tends to three stable states: consensus, polarization, and fragmentation. At present, the opinion dynamics models have been extensively studied in differrent fields. This paper provides a review of opinion dynamics in finance … WebJun 29, 2024 · Abstract: We consider the problem of optimizing the placement of stubborn agents in a social network in order to maximally influence the population. We assume …
Binary opinion dynamics with stubborn agents
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WebOpinion of each agent is assumed to be a binary variable taking values in the set {0, 1}. Interactions among agents are modeled using the majority rule, where each agent updates its opinion at random instants by adopting the ' majority ' opinion among a group of randomly sampled agents. WebJan 14, 2024 · In this paper, we propose the opinion dynamics model with the increasing peer pressure and the stubborn agents. Cooperation and competition between individuals are considered simultaneously in a social network. Similar to the signed DeGroot model, we adopt a weighted average update rule in our model.
WebJul 28, 2014 · A nature way to consider the existence of competitors in a network is to view them as zealots 14,15 or stubborn agents 16,17,18 ... A. Binary opinion dynamics with stubborn agents. ACM Tran. Econ ... Webcalled partially stubborn agents in our paper) or do not change their opinions at all (the so-called fully stubborn agents in our paper). The recent work [15] studies opinion dynamics based on the so-called voter model where each agent holds a binary 0-1 opinion and at each time a randomly chosen agent
Weba large majority of agents agree on some opinion while other opinions continue to be supported by a (small) minority of agents. In this work, we take a step towards the investigation of metastable consensus for complex (non-linear) opinion dynamics by considering the famous Undecided-State dynamics in the binary setting, which is known WebMar 5, 2024 · We study binary opinion dynamics in a fully connected network of interacting agents. The agents are assumed to interact according to one of the following rules: (1) Voter rule: An updating agent simply copies the opinion of another randomly sampled agent; (2) Majority rule: An updating agent samples multiple agents and …
WebJul 11, 2024 · Opinion dynamics and the evolution of social power in influence networks. Siam Review 57(3): 367–397. Article MathSciNet MATH ... Saberi A, Scaglione A (2013). Binary opinion dynamics with stubborn agents. ACM Transactions on Economics and Computation 1(4): 1–30. Article Google Scholar Zhan M, Ding ZG, Dong YC (2024). ...
ray mcwilliams obitWebAgents iteratively update their opinions based on their own initial opinions and observing the opinions of their neighbors. The iterative update of an agent can be viewed as a myopic cost-minimization response (i.e., the so-called best response) to the others' actions. rayme acevedoWebJan 4, 2013 · ACM Transactions on Economics and Computation. Search within TEAC. Search Search ray mcwilliams montgomery alWebIn this proposed agent-based opinion model, there are stubborn agents and regular agents: while each stubborn agent never changes its opinion, a regular agent updates his/her opinion based on selected agents' opinion values and his/her confidence bound. ray meachenWebapproach. Our model focuses on dynamics of binary opinions and provides a general characterization of the relationship between the location of stubborn agents and the … simplicity 4023WebWe study binary opinion dynamics in a social network with stubborn agents who influence others but do not change their opinions. We focus on a generalization of the classical … simplicity 3 in 1 baby cribWebApr 29, 2024 · We consider opinion diffusion for undirected networks with sequential updates when the opinions of the agents are single-peaked preference rankings. Our starting point is the study of preserving single-peakedness. ray mead grafton ma