Preventing rumor spreading on small-world networks

Huang, Jinyu; Jin, Xiaogang

doi:10.1007/s11424-011-8303-1

Cited by 67 publications

(24 citation statements)

References 23 publications

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“…In contrast, the random immunization strategy was not mainly effective on SFNs [25]. Immunization strategy can also be defined in the rumor diffusion model to control the propagation of rumors [9,22].…”

Section: Related Workmentioning

confidence: 97%

“…To consider the network topology, the rumor diffusion models on small-world network [22] and SFNs [21,23,24] have been described.…”

Section: Related Workmentioning

confidence: 99%

“…The Daley-Kendal and MK models have a serious weakness; these models do not take into account the topology of the underlying networks along with the rumor propagation process [21]. To consider the network topology, the rumor diffusion models on small-world network [22] and SFNs [21,23,24] have been described.…”

Section: Related Workmentioning

confidence: 99%

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Dynamics of a rumor‐spreading model with diversity of configurations in scale‐free networks

Hosseini

Azgomi

Rahmani

2015

Int J Communication

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SUMMARYIn this paper, we propose a new rumor-spreading model, which is a variant of the susceptible-exposedinfectious-removed epidemic model. We consider the influences of the diversity of configurations as a defense strategy to diminish the damage brought by rumor diffusion. The diversity of configuration can be found in different instant messengers or social networks. Moreover, we apply two kinds of the rumor immunization strategies such as random immunization and targeted immunization and show that targeted immunization is better than random immunization for rumor-spreading control in scale-free networks. We carry out the systematic analysis of the model and study the local and global stability of rumor-free equilibrium. In the proposed model, we introduce two new states, namely, hibernator and stifler2, to study dynamical behaviors of the model. The proposed model combines both targeted immunization and diversity of configuration to prevent rumor spreading. By numerical simulations, we indicate that our model is appreciably better than other models in terms of declining the rumor diffusion speed. Furthermore, we investigate many related dynamic properties to make the result more complete. Simulation results show the effect of different parameters on the rumor diffusion in scale-free networks; meanwhile, numerical simulations confirm the theoretical solution.

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Section: Related Workmentioning

confidence: 97%

“…To consider the network topology, the rumor diffusion models on small-world network [22] and SFNs [21,23,24] have been described.…”

Section: Related Workmentioning

confidence: 99%

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Dynamics of a rumor‐spreading model with diversity of configurations in scale‐free networks

Hosseini

Azgomi

Rahmani

2015

Int J Communication

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“…In addition, complex networks have been used to model individuals (nodes) and their interactions (vertices) in a population propagating a rumor. 7,8 Moreover, some effort has been made toward examining the similarity between disease and rumor propagation. 9,10 The consumer market proposed has some characteristics of epidemic spreading models and information/rumor spreading in a population.…”

Section: Introductionmentioning

confidence: 99%

On estimating the impact of information spreading in a consumer market modeled by probabilistic cellular automata and ordinary differential equations

2017

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Individuals spread information about their lives, their career, and their recently purchased items. In addition, considering that the customer's opinions may influence their friendship circle, neighbors, and work colleagues, they constitute a very important factor to consider in future actions of companies. In this paper, we present an approach based on probabilistic cellular automata and ordinary differential equations for modeling the consumer market, inspired by a biological system of an infectious disease-spreading model. However, instead of spreading a disease, consumers spread their opinion to other individuals, thereby having consequences on sales levels. Using marketing, the economic situation, and individual opinion as input variables of the consumer market model, simulation output (generated demand) is then used in the business game, helping the mediator (teacher) to create different scenarios and giving feedback to the student at simulation runtime, even if many players are involved in the game. Analytical and numerical simulations show that the proposed approach allows the teacher to create virtual markets for the players just by setting the parameters that describe a scenario, increasing the dynamism of the game, saving time, and allowing the mediator to focus on other important subjects, such as the teaching concepts of business strategies and decision support. Moreover, simulations are conducted to demonstrate the applicability of the proposed model in real life problems, such as the electro-domestic market.

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“…Many other scholars have studied rumor propagation by considering the topological properties of social networks [13][14][15][16]. Zanette [17,18] and Buzna et al [19] studied the dynamic process of rumor propagation and found that there was a critical rumor-propagation threshold that must be exceeded before a rumor can propagate in small-world networks.…”

Section: Introductionmentioning

confidence: 99%

Rumor-Propagation Model with Consideration of Refutation Mechanism in Homogeneous Social Networks

Zhao

Wang

et al. 2014

Discrete Dynamics in Nature and Society

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In recent years, increasing attention has been paid to how to effectively manage rumor propagation. Based on previous studies of rumor propagation and some strategies used by the authorities to refute rumors and manage rumor propagation, we develop a new rumor-propagation model with consideration of refutation mechanism. In this paper, we describe the dynamic process of rumor propagation by accounting for the refutation mechanism in homogeneous social networks. And then, we derive mean-field equations for rumor-propagation process. We then analyze the stability of the model with respect to changes in parameter values. Our results show that there exists a critical threshold that is inversely proportional to the average degree of the social networks and is positively correlated with the strength of the refutation mechanism. If the spreading rate is bigger than the critical threshold , rumors can be spread. Our numerical simulations in homogeneous networks demonstrate that increasing the ignorant's refutation rate can reduce the peak value of spreaders density, which is better than increasing the spreader's refutation rate . Therefore, based on the seriousness of the rumor propagation and the rumor-propagation rate, the authorities can choose effective strategies that increase the refutation rate so that they can reduce the maximum influence of the rumor. Hindawi Publishing Corporation

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Preventing rumor spreading on small-world networks

Cited by 67 publications

References 23 publications

Dynamics of a rumor‐spreading model with diversity of configurations in scale‐free networks

Dynamics of a rumor‐spreading model with diversity of configurations in scale‐free networks

On estimating the impact of information spreading in a consumer market modeled by probabilistic cellular automata and ordinary differential equations

Rumor-Propagation Model with Consideration of Refutation Mechanism in Homogeneous Social Networks

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