WebAgents 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. 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.

Opinion Dynamics of Social Networks with Stubborn Agents via …

WebIn 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. 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 the radiative heat transfer of planet earth

Single-Peaked Opinion Updates DeepAI

WebNov 1, 2024 · Within the framework of a simple model for social influence, the Taylor model, we analytically investigate the role of stubborn agents in the overall opinion dynamics … WebJan 20, 2011 · Binary Opinion Dynamics with Stubborn Agents Authors: Ercan Yildiz Daron Acemoglu Asuman E. Ozdaglar Amin Saberi Show all 5 authors Request full-text … WebNov 1, 2024 · To model the collective dynamics of continuous opinion exchange in the presence of stubborn agents, we use the Taylor model [23]. Based on the seminal work of Abelson [14] it is similar to various previous approaches of constructive opinion dynamics [15], [16] and represents a minimal model for social interactions. the radiator building o\u0027keeffe