Immunization against the Spread of Rumors in Homogenous Networks
نویسندگان
چکیده
Since most rumors are harmful, how to control the spread of such rumors is important. In this paper, we studied the process of "immunization" against rumors by modeling the process of rumor spreading and changing the termination mechanism for the spread of rumors to make the model more realistic. We derived mean-field equations to describe the dynamics of the rumor spread. By carrying out steady-state analysis, we derived the spreading threshold value that must be exceeded for the rumor to spread. We further discuss a possible strategy for immunization against rumors and obtain an immunization threshold value that represents the minimum level required to stop the rumor from spreading. Numerical simulations revealed that the average degree of the network and parameters of transformation probability significantly influence the spread of rumors. More importantly, the simulations revealed that immunizing a higher proportion of individuals is not necessarily better because of the waste of resources and the generation of unnecessary information. So the optimal immunization rate should be the immunization threshold.
منابع مشابه
A Model for Detecting of Persian Rumors based on the Analysis of Contextual Features in the Content of Social Networks
The rumor is a collective attempt to interpret a vague but attractive situation by using the power of words. Therefore, identifying the rumor language can be helpful in identifying it. The previous research has focused more on the contextual information to reply tweets and less on the content features of the original rumor to address the rumor detection problem. Most of the studies have been in...
متن کاملA computational model and convergence theorem for rumor dissemination in social networks
The spread of rumors, which are known as unverified statements of uncertain origin, may threaten the society and it's controlling, is important for national security councils of countries. If it would be possible to identify factors affecting spreading a rumor (such as agents’ desires, trust network, etc.) then, this could be used to slow down or stop its spreading. Therefore, a computational m...
متن کاملStandardizing of the Rumors Acceptance Questionnaire among Social Networks Audiences
Purpose: Today, the use of social networks has grown a lot and therefore the present study was conducted with the aim of standardizing the rumors acceptance questionnaire among the social networks audiences. Methodology: The present study in terms of purpose was applied and in terms of implementation method was descriptive from type of correlation. The study population was Iranian active audie...
متن کاملCompetitive Rumour Spread in Social Networks
We consider a setting in which two firms compete to spread rumors in a social network. Firms seed their rumors simultaneously and rumors propagate according to the linear threshold model. Using the concept of cascade centrality introduced by [19], we provide a sharp characterization of networks that admit pure-strategy Nash equilibria (PSNE). We provide tight bounds for the efficiency of these ...
متن کاملGlobal Challenge of Health Communication: Infodemia in the Coronavirus Disease (COVID-19) Pandemic
Dear Editor The international community has been faced with one of the most critical health conditions in recent decades due to the Coronavirus disease (COVID-19) pandemic which experience hundreds of thousands of infected cases and tens of thousands of deaths. Alongside of COVID-19 pandemic we have been faced a new phenomenon of "Infodemic" or “epidemic of false information” about COVID-19. C...
متن کامل