{"title":"社会影响与达成共识:引入具有加权影响力的 q-Voter 模型","authors":"Pratik Mullick, Parongama Sen","doi":"arxiv-2409.09817","DOIUrl":null,"url":null,"abstract":"We investigate a dynamical model of opinion formation in which an\nindividual's opinion is influenced by interactions with a group of other\nagents. We introduce a bias towards one of the opinions in a manner not\nconsidered earlier to the best of our knowledge. When the bias is neutral, the\nmodel is reduced to a mean-field voter model. We analyze the behavior and\nsteady states of the system, identifying three distinct regimes based on the\nbias level: one favoring negative opinions, one favoring positive opinions, and\na neutral case. In large systems, the equilibrium properties become independent\nof the size of the group, indicating that only the bias influences the final\noutcome. However, for small groups, the time to reach equilibrium depends on\nthe size of the group. Our results show that even a small initial bias leads to\na consensus where all agents eventually share the same opinion when the bias is\nnot neutral. The system exhibits universal behavior, with critical slowing down\noccurring near the neutral bias point, marking it as a critical dynamical\nthreshold. The time required to reach consensus scales logarithmically when the\nbias is non-neutral and linearly when it is neutral. Although short-term\ndynamics depends on group size for small groups, long-term behavior is governed\nsolely by the bias.","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Social Influence and Consensus Building: Introducing a q-Voter Model with Weighted Influence\",\"authors\":\"Pratik Mullick, Parongama Sen\",\"doi\":\"arxiv-2409.09817\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We investigate a dynamical model of opinion formation in which an\\nindividual's opinion is influenced by interactions with a group of other\\nagents. We introduce a bias towards one of the opinions in a manner not\\nconsidered earlier to the best of our knowledge. When the bias is neutral, the\\nmodel is reduced to a mean-field voter model. We analyze the behavior and\\nsteady states of the system, identifying three distinct regimes based on the\\nbias level: one favoring negative opinions, one favoring positive opinions, and\\na neutral case. In large systems, the equilibrium properties become independent\\nof the size of the group, indicating that only the bias influences the final\\noutcome. However, for small groups, the time to reach equilibrium depends on\\nthe size of the group. Our results show that even a small initial bias leads to\\na consensus where all agents eventually share the same opinion when the bias is\\nnot neutral. The system exhibits universal behavior, with critical slowing down\\noccurring near the neutral bias point, marking it as a critical dynamical\\nthreshold. The time required to reach consensus scales logarithmically when the\\nbias is non-neutral and linearly when it is neutral. Although short-term\\ndynamics depends on group size for small groups, long-term behavior is governed\\nsolely by the bias.\",\"PeriodicalId\":501043,\"journal\":{\"name\":\"arXiv - PHYS - Physics and Society\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Physics and Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.09817\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Physics and Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.09817","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Social Influence and Consensus Building: Introducing a q-Voter Model with Weighted Influence
We investigate a dynamical model of opinion formation in which an
individual's opinion is influenced by interactions with a group of other
agents. We introduce a bias towards one of the opinions in a manner not
considered earlier to the best of our knowledge. When the bias is neutral, the
model is reduced to a mean-field voter model. We analyze the behavior and
steady states of the system, identifying three distinct regimes based on the
bias level: one favoring negative opinions, one favoring positive opinions, and
a neutral case. In large systems, the equilibrium properties become independent
of the size of the group, indicating that only the bias influences the final
outcome. However, for small groups, the time to reach equilibrium depends on
the size of the group. Our results show that even a small initial bias leads to
a consensus where all agents eventually share the same opinion when the bias is
not neutral. The system exhibits universal behavior, with critical slowing down
occurring near the neutral bias point, marking it as a critical dynamical
threshold. The time required to reach consensus scales logarithmically when the
bias is non-neutral and linearly when it is neutral. Although short-term
dynamics depends on group size for small groups, long-term behavior is governed
solely by the bias.