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Asynchronous Opinion Dynamics in Social Networks [article]

Petra Berenbrink, Martin Hoefer, Dominik Kaaser, Pascal Lenzner, Malin Rau, Daniel Schmand
2022 arXiv   pre-print
We show that such opinion dynamics with random agent activation are guaranteed to converge for any social network.  ...  To the best of our knowledge, social Hegselmann-Krause systems with asynchronous opinion updates have only been studied with the complete graph as social network.  ...  Conclusion In this paper we present the first analysis of the convergence time of asynchronous Hegselmann-Krause opinion dynamics on arbitrary social networks.  ... 
arXiv:2201.12923v1 fatcat:rgq7ufm2ejb2tbin5ughlbx3qm

Leader-Driven Opinion Dynamics in Signed Social Networks With Asynchronous Trust/Distrust Level Evolution [article]

Lei Shi, Yuhua Cheng, Jinliang Shao, Xiaofan Wang, Hanmin Sheng
2021 arXiv   pre-print
This paper aims to analyze how the leader influences the formation of followers' opinions in signed social networks.  ...  Trust and distrust are common in the opinion interactions among agents in social networks, and they are described by the edges with positive and negative weights in the signed digraph, respectively.  ...  Inspired by the above discussions, the main purpose of this paper is to analyze the leader-driven opinion dynamics in signed social networks with asynchronous trust/distrust level evolution.  ... 
arXiv:2007.09561v3 fatcat:5vzdjics3zagzgwpgssqjglyai

Opinion Dynamics via a Gossip Algorithm with Asynchronous Group Interactions

Emerico Aguilar, Yasumasa Fujisaki
2019 Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications  
Various models exist for representing the opinion formation process in social networks.  ...  For asynchronous pairwise interactions, a gossip algorithm can be used as an alternative method for describing its opinion dynamics.  ...  An important topic in social network analysis is the opinion dynamics of social networks.  ... 
doi:10.5687/sss.2019.99 fatcat:djwp2ko2b5baxf6pp23hqkf2xm

Consensus formation in opinion dynamics with online and offline interactions at complex networks

Zhaogang Ding, Yucheng Dong, Gang Kou, Iván Palomares, Shui Yu
2018 International Journal of Modern Physics C  
In this paper, we study the asynchronism interaction 2 online and offline environment in opinion dynamics, and we unfold that the asynchronization strongly impacts the consensus formation at complex networks  ...  : A high degree of the asynchronization makes it difficult for all agents to reach consensus in opinion dynamics.  ...  The asynchronous opinion dynamics model in online and offine interactions Model In this section, we propose the asynchronous opinion dynamics model in online and offline interactions based on the HK  ... 
doi:10.1142/s0129183118500468 fatcat:hvnkxxdex5hxrpyjlkd274iiru

Impact of network randomness on multiple opinion dynamics

Vivian Dornelas, Marlon Ramos, Celia Anteneodo
2018 Physica A: Statistical Mechanics and its Applications  
We are specially interested in the impact of the network randomness on the final distribution of opinions.  ...  To study the distribution of preferences that emerge in such situations, a useful approach is to simulate opinion dynamics on top of complex networks, composed by nodes (individuals) and their connections  ...  social networks.  ... 
doi:10.1016/j.physa.2018.04.037 fatcat:hyz6q47uijcqbnq6jxfhopdrpq

Gossip-Based Model for Opinion Dynamics with Probabilistic Group Interactions

Emerico Aguilar, Yasumasa Fujisaki
2020 Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications  
Classical models of opinion dynamics utilize deterministic methods to describe how opinions evolve within a social network.  ...  In this paper, we propose to extend the gossip-based models for opinion dynamics by allowing group interactions with randomly selected participants.  ...  Reaching Consensus Various agent-based models exist for modeling the opinion dynamics of social networks.  ... 
doi:10.5687/sss.2020.60 fatcat:tit436s2zvavnbc36e467ihufy

Majority Rule for Belief Evolution in Social Networks [article]

Yi Zhou
2013 arXiv   pre-print
In this paper, we study how an agent's belief is affected by her neighbors in a social network.  ...  The answer is no in general. However, for random asynchronous belief evolution, this is indeed the case.  ...  Related Work Belief and opinion dynamics in social network is widely studied in related fields.  ... 
arXiv:1309.0659v1 fatcat:clrin7tw5rcrdnctjzhthl3vb4

On the Impact of Social Media Recommendations on Opinion Consensus [article]

Vincenzo Auletta, Antonio Coppola, Diodato Ferraioli
2022 arXiv   pre-print
In particular, we show that when the homophily ratio is large, the social media has a very low capacity of determining the outcome of the opinion dynamics.  ...  We consider a discrete opinion formation problem in a setting where agents are influenced by both information diffused by their social relations and from recommendations received directly from the social  ...  In the section 5 we will study the opinion dynamics with asynchronous updates.  ... 
arXiv:2204.03299v2 fatcat:qp454tmncrc6hpuiee3oglglzu

Expressed and Private Opinion Dynamics on Influence Networks with Asynchronous Updating

Weiguo Xia, Hong Liang, Mengbin Ye
2020 2020 59th IEEE Conference on Decision and Control (CDC)  
In this paper, an asynchronous discrete-time opinion dynamics model on a social influence network is considered.  ...  network topology.  ...  MAIN RESULTS In this section, we analyse the evolution of the opinion dynamics. To begin, we write the dynamics of the entire social network.  ... 
doi:10.1109/cdc42340.2020.9303803 fatcat:os7mftsptjazdnf5sukbcpnryq

Learning a Linear Influence Model from Transient Opinion Dynamics

Abir De, Sourangshu Bhattacharya, Parantapa Bhattacharya, Niloy Ganguly, Soumen Chakrabarti
2014 Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management - CIKM '14  
Further, actors' opinions may be observed in an asynchronous and incomplete fashion, after missing several time steps when an actor changed its opinion based on neighbors' influence.  ...  These opinions are influenced by network neighbors. Many models have been proposed for such opinion dynamics, but they have some limitations. Most consider the strength of edge influence as fixed.  ...  MODEL AND METRICS In this section, we describe a new framework for modeling opinion dynamics on a social network.  ... 
doi:10.1145/2661829.2662064 dblp:conf/cikm/DeBBGC14 fatcat:zgmvvirmizdtpjvml2rso6vywi

Fundamentals of Computational Psychophysiology: Theory and Methodology

Bin Hu, Jian Shen, Lixian Zhu, Qunxi Dong, Hanshu Cai, Kun Qian
2022 IEEE Transactions on Computational Social Systems  
Fundamentals of Computational Psychophysiology: Theory and Methodology W ELCOME to the second issue of IEEE TRANS-ACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS (TCSS) in 2022.  ...  In this issue, we are going to present 25 regular articles.  ...  By viewing opinion changes as an information-generating process, opinion dynamics can be studied using entropy.  ... 
doi:10.1109/tcss.2022.3157522 fatcat:zlzjvvsi7zcexo6mqsdhwaxqp4

Opinion dynamics of learning agents: does seeking consensus lead to disagreement?

Renato Vicente, André C R Martins, Nestor Caticha
2009 Journal of Statistical Mechanics: Theory and Experiment  
We study opinion dynamics in a population of interacting adaptive agents voting on a set of complex multidimensional issues. We consider agents which can classify issues into for or against.  ...  The change in the internal state is driven by the information contained in the issue and in the opinion of the other agent.  ...  Opinion dynamics in a network of perceptrons The model consists of K interacting agents.  ... 
doi:10.1088/1742-5468/2009/03/p03015 fatcat:u32lbzkjareu5eoorc4g25bv44

Asynchronous Majority Dynamics in Preferential Attachment Trees

Maryam Bahrani, Nicole Immorlica, Divyarthi Mohan, S. Matthew Weinberg, Emanuela Merelli, Artur Czumaj, Anuj Dawar
2020 International Colloquium on Automata, Languages and Programming  
We study information aggregation in networks where agents make binary decisions (labeled incorrect or correct).  ...  The dynamics we consider are asynchronous (each round, a single agent updates their announced decision) and non-Bayesian (agents simply copy the majority announcements among their neighbors, tie-breaking  ...  Then in asynchronous majority dynamics, whichever individual is selected to announce first will have their opinion copied by the entire network.  ... 
doi:10.4230/lipics.icalp.2020.8 dblp:conf/icalp/BahraniIMW20 fatcat:fvkb3lkxibatdlie52tdzef5um

Reaching Consensus via Non-Bayesian Asynchronous Learning in Social Networks

Michal Feldman, Nicole Immorlica, Brendan Lucier, S. Matthew Weinberg, Marc Herbstritt
2014 International Workshop on Approximation Algorithms for Combinatorial Optimization  
We study the outcomes of information aggregation in online social networks.  ...  In our model, each individual in a network holds a private, independent opinion about a product or idea, biased toward a ground truth.  ...  We ask: do these asynchronous majority dynamics result in a correct consensus with high probability, for graphs that exhibit realistic properties of large social networks?  ... 
doi:10.4230/lipics.approx-random.2014.192 dblp:conf/approx/FeldmanILW14 fatcat:hisdkir27zfjlfjeyvc4uhjyj4

Game-Theoretic Analysis of the Hegselmann-Krause Model for Opinion Dynamics in Finite Dimensions

Seyed Rasoul Etesami, Tamer Basar
2015 IEEE Transactions on Automatic Control  
in the dynamics.  ...  We consider the Hegselmann-Krause model for opinion dynamics and study the evolution of the system under various settings.  ...  INTRODUCTION Opinion formation in social networks is an important area of research that has attracted a lot of attention in recent years in a wide range of disciplines, such as psychology, economics, political  ... 
doi:10.1109/tac.2015.2394954 fatcat:qxvb5e4xfjc33dpexbewsaao3m
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