Forums-Oriented Research on the Spreading and Inhibition of Rumors

2016 ◽  
Vol 27 (07) ◽  
pp. 845-862
Author(s):  
Hui-Jie Xu ◽  
Wan-Dong Cai ◽  
Gui-Rong Chen
Keyword(s):  
Critical Threshold ◽  
Trust Mechanism ◽  
Rumor Spreading ◽  
Spreading Model ◽  
User Behaviors ◽  
Trust Relationships ◽  
Web Forum ◽  
Web Forums ◽  
The Web ◽  
High Influence

A rumor spreading model for the web forums based on the heterogeneity of the web forum user behaviors and SEIR model is proposed in this paper. First, according to the meanfield equations of the model on inhomogeneous networks, the critical threshold of the spreading of rumor is deduced; Then the simulation and numerical analysis of the model itself and the influences of trust mechanism to the model are given, which verify the validity of the model and the introduction of trust mechanism can effectively reduce the rumor influence, the velocity of rumor spreading and the rumor size; Finally, combined with the previous conclusions and the high-influence limited trust relationships between the web forum users, a high-influence immunization algorithm is given. The experimental results show that the algorithm able to reach better effect than traditional immunization algorithm.

Rumor Spreading Model with Trust Mechanism in Complex Social Networks

2013 ◽  
Vol 59 (4) ◽  
pp. 510-516 ◽  
Author(s):  
Ya-Qi Wang ◽  
Xiao-Yuan Yang ◽  
Yi-Liang Han ◽  
Xu-An Wang
Keyword(s):  
Social Networks ◽  
Trust Mechanism ◽  
Rumor Spreading ◽  
Spreading Model

scholarly journals Dynamics of the rumor-spreading model with hesitation mechanism in heterogenous networks and bilingual environment

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Shuai Yang ◽  
Haijun Jiang ◽  
Cheng Hu ◽  
Juan Yu ◽  
Jiarong Li
Keyword(s):  
Lyapunov Method ◽  
Reproduction Number ◽  
Model Parameters ◽  
Rumor Spreading ◽  
Spreading Model ◽  
Reductio Ad Absurdum ◽  
The Stability ◽  
The Impact ◽  
Theoretical Results ◽  
The Basic Reproduction Number

Abstract In this paper, a novel rumor-spreading model is proposed under bilingual environment and heterogenous networks, which considers that exposures may be converted to spreaders or stiflers at a set rate. Firstly, the nonnegativity and boundedness of the solution for rumor-spreading model are proved by reductio ad absurdum. Secondly, both the basic reproduction number and the stability of the rumor-free equilibrium are systematically discussed. Whereafter, the global stability of rumor-prevailing equilibrium is explored by utilizing Lyapunov method and LaSalle’s invariance principle. Finally, the sensitivity analysis and the numerical simulation are respectively presented to analyze the impact of model parameters and illustrate the validity of theoretical results.

scholarly journals Dynamical analysis of a stochastic rumor-spreading model with Holling II functional response function and time delay

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Liang’an Huo ◽  
Xiaomin Chen
Keyword(s):  
Time Delay ◽  
White Noise ◽  
Functional Response ◽  
Response Function ◽  
Rapid Development ◽  
Dynamical Behavior ◽  
Deterministic System ◽  
Rumor Spreading ◽  
Spreading Model ◽  
Holling Ii Functional Response

AbstractWith the rapid development of information society, rumor plays an increasingly crucial part in social communication, and its spreading has a significant impact on human life. In this paper, a stochastic rumor-spreading model with Holling II functional response function considering the existence of time delay and the disturbance of white noise is proposed. Firstly, the existence of a unique global positive solution of the model is studied. Then the asymptotic behavior of the global solution around the rumor-free and rumor-local equilibrium nodes of the deterministic system is discussed. Finally, through some numerical results, the validity and availability of theoretical analysis is verified powerfully, and it shows that some factors such as the transmission rate, the intensity of white noise, and the time delay have significant relationship with the dynamical behavior of rumor spreading.

scholarly journals Steady-State Analysis of SECIR Rumor Spreading Model in Complex Networks

2019 ◽  
Vol 10 (03) ◽  
pp. 75-86
Author(s):  
Yujiang Liu ◽  
Chunmei Zeng ◽  
Youquan Luo
Keyword(s):  
Steady State ◽  
Complex Networks ◽  
Rumor Spreading ◽  
Steady State Analysis ◽  
Spreading Model ◽  
State Analysis

SIR rumor spreading model in the new media age

2013 ◽  
Vol 392 (4) ◽  
pp. 995-1003 ◽  
Author(s):  
Laijun Zhao ◽  
Hongxin Cui ◽  
Xiaoyan Qiu ◽  
Xiaoli Wang ◽  
Jiajia Wang
Keyword(s):  
New Media ◽  
Rumor Spreading ◽  
Spreading Model

Rumor spreading model considering forgetting and remembering mechanisms in inhomogeneous networks

2013 ◽  
Vol 392 (4) ◽  
pp. 987-994 ◽  
Author(s):  
Laijun Zhao ◽  
Xiaoyan Qiu ◽  
Xiaoli Wang ◽  
Jiajia Wang
Keyword(s):  
Rumor Spreading ◽  
Spreading Model

Susceptible-Infectious-Critical-Recovered rumor spreading model in social networks

2021 ◽  
Author(s):  
Wang Hongmei ◽  
Qiu Liqing ◽  
Tan Kun ◽  
Cui Junwei
Keyword(s):  
Social Networks ◽  
Theoretical Analysis ◽  
Critical State ◽  
Effective Measure ◽  
Rumor Spreading ◽  
Spreading Model ◽  
Rumor Propagation ◽  
Number Formula ◽  
Simulation Results ◽  
Next Generation Matrix

As an important area of social networks, rumor spread has attracted the attention of many scholars. It aims to explore the rumor propagation, and to propose effective measures to curb the further spread of rumors. Different from some existing works, this paper believes that susceptible persons affected by rumor-refuting information will first enter the critical state, while ones who related to rumors will directly turn into the spread state. Therefore, this paper proposes a Susceptible-Infectious-Critical-Recovered (SICR) rumor model. In addition, considering that infectious persons with high levels of refuting rumors may cause emotional resonance among individuals, this model adds a connecting edge from the recovered to the infectious who are triggered by the information of refuting the rumors. First, the basic regeneration number [Formula: see text] is obtained by using the next generation matrix method. Then, the global stability of the rumor-free equilibrium [Formula: see text] and the persistence of rumor propagation are proved in detail in theoretical analysis. The simulation results show that the existence of a critical state can reduce the influence of rumors. Rumor refutation mechanism, as soon as possible to curb the spread of rumors, is an effective measure.

A Survey of Trust Use and Modeling in Real Online Systems

2013 ◽  
pp. 167-196
Author(s):  
Paolo Massa
Keyword(s):  
Social Relationships ◽  
Information Overload ◽  
The Internet ◽  
Online Systems ◽  
Trust Relationships ◽  
Different Types ◽  
Concept Of Information ◽  
The Web ◽  
Trust Information

This chapter discusses the concept of trust and how trust is used and modeled in online systems currently available on the Web or on the Internet. It starts by describing the concept of information overload and introducing trust as a possible and powerful way to deal with it. It then provides a classification of the systems that currently use trust and, for each category, presents the most representative examples. In these systems, trust is considered as the judgment expressed by one user about another user, often directly and explicitly, sometimes indirectly through an evaluation of the artifacts produced by that user or his/her activity on the system. We hence use the term “trust” to indicate different types of social relationships between two users, such as friendship, appreciation, and interest. These trust relationships are used by the systems in order to infer some measure of importance about the different users and influence their visibility on the system. We conclude with an overview of the open and interesting challenges for online systems that use and model trust information.

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