Online Rumor Diffusion Model Based on Variation and Silence Phenomenon in the Context of COVID-19

Abstract

In the era of mobile internet, information dissemination has made a new leap in speed and in breadth. With the outbreak of the coronavirus disease 2019 (COVID-19), the COVID-19 rumor diffusion that is not limited by time and by space often becomes extremely complex and fickle. It is also normal that a piece of unsubstantiated news about COVID-19 could develop to many versions. We focus on the stagnant role and information variants in the process of rumor diffusion about COVID-19, and through the study of variability and silence in the dissemination, which combines the effects of stagnation phenomenon and information variation on the whole communication system in the circulation of rumors about COVID-19, based on the classic rumor SIR (Susceptible Infected Recovered) model, we introduce a new concept of “variation” and “oyster”. The stability of the new model is analyzed by the mean field equation, and the threshold of COVID-19 rumor propagation is obtained later. According to the results of the simulation experiment, whether in the small world network or in the scale-free network, the increase of the immure and the silent probability of the variation can effectively reduce the speed of rumor diffusion about COVID-19 and is conducive to the dissemination of the truth in the whole population. Studies have also shown that increasing the silence rate of variation can reduce COVID-19 rumor transmission more quickly than the immunization rate. The interesting discovery is that at the same time, a higher rumor infection rate can bring more rumors about COVID-19 but does not always maintain a high number of the variation which could reduce variant tendency of rumors. The more information diffuses in the social group, the more consistent the version and content of the information will be, which proves that the more adequate each individual information is, the slower and less likely rumors about COVID-19 spread. This consequence tells us that the government needs to guide the public to the truth. Announcing the true information publicly could instantly contain the COVID-19 rumor diffusion well rather than making them hidden or voiceless.

Visualization and Bibliometric Analysis of Carbon Neutrality Research for Global Health

“…From the perspective of research content ( 39 – 41 ), the research hotspots of carbon neutrality are “CO 2 electroreduction, microalgal biomass, air capture, water splitting.” It is mainly divided into three directions: the first is to study biomass energy, such as exploring the source of raw materials and the future of biomass energy; the second is to study the possible negative effects of biomass energy, such as the carbon emission calculation model of biomass energy; the third is to study the ways and methods of CO 2 electrochemical reduction, including the research of catalyst and catalytic environment.…”

Exploring a Multi-Layer Coupled Network Propagation Model Based on Information Diffusion and Bounded Trust

“…The main work of this paper is as follows: Firstly, referring to Ju et al [ 31 ], we propose an ISVOR model with concepts of “variation” and “oyster”. According to the model, we divide people into three groups: I (Ignorant), S (Spreader), and V (Variation).…”

Blockchain Traceability System in Complex Application Scenarios: Image-Based Interactive Traceability Structure

“…In contrast, blockchain technology uses a distributed storage mode to store data and is widely regarded as an inherent information storage mechanism. It is very suitable for solving the problems of system centralization, lack of data monitoring [4][5][6], data tracking [7], and lack of trust in traditional traceability systems [8]. Blockchain is the core supporting technology of the digital cryptocurrency system represented by Bitcoin [9].…”