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An Efficient Hybrid Control Strategy for Restraining Rumor Spreading
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021Toward combating the malicious rumor spreading on online social networks, we discuss a hybrid control strategy that combines a continuous truth spreading method and an impulsive rumor blocking method in this article.
Li Ding, Ping Hu, Z. Guan, Tao Li
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Stability analysis of a SAIR rumor spreading model with control strategies in online social networks
Information Sciences, 2020Linhe Zhu
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Bifurcation Analysis of a Reaction-Diffusion Rumor Spreading Model with Nonsmooth Control
International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, 2022Rumors may cause serious harm to social productivity and life. Studying the dynamics of rumor propagation can help provide corresponding countermeasures to control communication effectively.
Linhe Zhu, Wenxin Zheng, Xuebing Zhang
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Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015, 2015
In this paper, we focus on the very specificity of rumors as pieces of information for modeling their process of propagation. We consider a population of pedestrians walking in a city and we assume that a rumor is transmitted by word of mouth from one to another.
Martine Collard +3 more
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In this paper, we focus on the very specificity of rumors as pieces of information for modeling their process of propagation. We consider a population of pedestrians walking in a city and we assume that a rumor is transmitted by word of mouth from one to another.
Martine Collard +3 more
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Island Models Meet Rumor Spreading
Algorithmica, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Benjamin Doerr +5 more
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A Fractional Order Model for Rumor Spreading in Mobile Social Networks from A Stochastic Process
International Computer Science Conference, 2021In this manuscript, a fractional order model for rumor spreading in mobile social networks (MSNs) is derived from an underlying physical stochastic process, which can be regarded as a heterogeneous-network-based fractional order epidemic model.
Guojian Ren +3 more
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SVIR rumor spreading model considering individual vigilance awareness and emotion in social networks
, 2021Rumor, as a form of information, can be widely spread in a short time. A host of researchers focus on the spread of rumor, aiming to explore the rules of rumor spreading and put forward effective measures to help control the spread of rumor. In real life,
Q. Liqing, Liu Shuqi
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Simulating Rumor Spreading in Social Networks using LLM Agents
arXiv.orgWith the rise of social media, misinformation has become increasingly prevalent, fueled largely by the spread of rumors. This study explores the use of Large Language Model (LLM) agents within a novel framework to simulate and analyze the dynamics of ...
Tianrui Hu +4 more
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Fractal Features of Rumor Spread
2021 4th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE), 2021In this paper,the fractal characteristics of the rumor spreading are studied by the perspective of time series constructed with the influence of rumor spreading.The values of the Hurst exponent calculated through rescaled range analysis indicate that the time series of rumor spreading are fractal with long-range dependence and self-similarity.The ...
Xu Gao, Fengming Liu
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SIAM Journal on Applied Mathematics, 1987
Suppose that one of n people knows a rumor. At the first stage, he passes the rumor to someone chosen at random; at each stage, each person already informed (''knower'') communicates the rumor to a person chosen at random and independently of all other past and present choices. Denote by \(S_ n\) the random number of stages before everybody is informed.
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Suppose that one of n people knows a rumor. At the first stage, he passes the rumor to someone chosen at random; at each stage, each person already informed (''knower'') communicates the rumor to a person chosen at random and independently of all other past and present choices. Denote by \(S_ n\) the random number of stages before everybody is informed.
openaire +1 more source