Binary opinion dynamics with stubborn agents
WebDec 9, 2024 · Opinion Dynamics with Random Actions and a Stubborn Agent Olle Abrahamsson, Danyo Danev, Erik G. Larsson We study opinion dynamics in a social network with stubborn agents who influence their neighbors but who themselves always stick to their initial opinion. We consider first the well-known DeGroot model. Web1: (1) We refer to this model of opinion dynamics as the (binary) voter model with stubborn nodes. Our goal in this paper is to characterize the asymptotic behavior of the agent opinions x(t) in terms of the underlying graph Gand the location of stubborn agent sets V 1and V 0. We adopt the following assumption throughout the paper: Assumption 1.
Binary opinion dynamics with stubborn agents
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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. 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
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 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 …
WebDec 30, 2024 · Erik G. Larsson Abstract We study opinion dynamics in a social network with stubborn agents who influence their neighbors but who themselves always stick to their initial opinion. We... Webapproach. Our model focuses on dynamics of binary opinions and provides a general characterization of the relationship between the location of stubborn agents and the …
Weblocation of stubborn agents and their levels of stubborn-ness. Based on such bounds, we study the convergence time in social networks with di erent topologies such as expander graphs, Erdos-Renyi random graphs, and small-world networks. The recent work [12] studies opin-ion dynamics based on the so-called voter model where each agent holds …
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). ... shtt testing chinaWebWe 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 … sht toolsWebIt's my pleasure to share our new work "Consensus in concatenated opinion dynamics with stubborn agents" published on IEEE Trans. on Automatic Control. Many thanks to the co-authors: Dr. Carmela ... sh ttyWebOct 11, 2024 · Yildiz E, Ozdaglar A, Acemoglu D, Saberi A, Scaglione A (2013) Binary opinion dynamics with stubborn agents. ACM Trans Econ Comput (TEAC) 1(4):1–30. Article Google Scholar Zhang X, Ghorbani AA (2024) An overview of online fake news: characterization, detection, and discussion. Inf Process Manag 57(2):102025 sht trail conditionsWebSep 29, 2010 · The voter model with stubborn agents extended abstract. Abstract: In this paper, we analyzed opinion dynamics in large social networks. We utilized so called binary voter algorithm to model the interactions among neighbors in a given network. In particular, each neighbor holds a binary opinion, 0 or 1, and chooses one of his … shtube facebookWebJul 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 ... shtuf\u0027s ruler wowWebThis work addresses the problem of sharing partial information within social learning strategies. In social learning, agents solve a distributed multiple hypothesis testing problem by performing two operations at each instant: first, agents incorporate information from private observations to form their beliefs over a set of hypotheses; second ... shtudown -s -t 3000