Results 31 to 40 of about 15,810,034 (284)
There has long been interest in making inferences about future low-probability natural events that have magnitudes greater than any in the past record. Given a stationary time series, the unbounded Type 1 and Type 2 asymptotic extreme value distributions
Earl Bardsley, Varvara Vetrova
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Opinion natural reversals are important and common phenomena in network management. It is a naturally emerging process of opinions characterized by interactions between individuals and the evolution of attitudes themselves.
Renbin Xiao, Tongyang Yu, Jundong Hou
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A Density Description of a Bounded-Confidence Model of Opinion Dynamics on Hypergraphs
Abstract. Social interactions often occur between three or more agents simultaneously. Examining opinion dynamics on hypergraphs allows one to study the effect of such polyadic interactions on the opinions of agents. In this paper, we consider a bounded-confidence model (BCM), in which opinions take continuous values and interacting ...
Weiqi Chu, Mason A. Porter
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Macroscopic Noisy Bounded Confidence Models With Distributed Radical Opinions
In this article, we study the nonlinear Fokker-Planck (FP) equation that arises as a mean-field (macroscopic) approximation of bounded confidence opinion dynamics, where opinions are influenced by environmental noises and opinions of radicals (stubborn individuals).
Mohamad Amin Sharifi Kolarijani +2 more
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Extremism without extremists: Deffuant model with emotions
The frequent occurrence of extremist views in many social contexts, often growing from small minorities to almost total majority, poses a significant challenge for democratic societies.
Pawel eSobkowicz
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Cross-platform opinion dynamics in competitive travel advertising: A coupled networks’ insight
Social media platforms have become an important tool for travel advertisement. This study constructs the bounded confidence model to build an improved cross-platform competitive travel advertising information dissemination model based on open and closed ...
Jia Chen, Haomin Wang, Xiangrui Chao
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Pattern selection and super-patterns in the bounded confidence model [PDF]
We study pattern formation in the bounded confidence model of opinion dynamics. In this random process, opinion is quantified by a single variable. Two agents may interact and reach a fair compromise, but only if their difference of opinion falls below a fixed threshold. Starting from a uniform distribution of opinions with compact support, a traveling
Ben-Naim, E., Scheel, A.
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Bias and identifiability in the bounded confidence model
Abstract Opinion dynamics models such as the bounded confidence models (BCMs) describe how a population can reach consensus, fragmentation, or polarization, depending on a few parameters. Connecting such models to real-world data could help understand these phenomena, testing model assumptions.
Claudio Borile +4 more
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Opinion formation and distribution in a bounded-confidence model on various networks [PDF]
In the social, behavioral, and economic sciences, it is an important problem to predict which individual opinions will eventually dominate in a large population, if there will be a consensus, and how long it takes a consensus to form. This idea has been studied heavily both in physics and in other disciplines, and the answer depends strongly on both ...
Van Gorder, Robert A. +2 more
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Scope-bounded pushdown languages [PDF]
We study the formal language theory of multistack push-down automata (Mpa) restricted to computations where a symbol can be popped from a stack S only if it was pushed within a bounded number of contexts of S (scoped Mpa).
Salvatore La Torre +6 more
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