A multi-agent model for simulation of public crisis information dissemination

Meng, Lingpeng; Kang, Qi; Han, Chuanfeng; Zhang, Bingkui

doi:10.1504/ijwmc.2016.079465

Cited by 8 publications

(3 citation statements)

References 12 publications

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“…Davis and Agrawal argue that the motivations leading to the generation of public opinion hotness are interpersonal interactions, including public opinion interaction, social influence, and interpersonal identity [2]; Zablocki et al argue that the motives leading to the generation of public opinion hotness are interest appeals, including utilitarianism, conflicting interests, and government mishandling [3]; Nguyen and Coudounaris argue that the motives leading to the generation of public opinion hotness are emotional expressions, including emotional factors, attitudinal emotions, and participation mentality [4]. Meng et al point out that the evolution of online public opinion is composed of a complex network system jointly formed by the subject behaviors and interactive relationships of the public, media, and government, and the subjects' decisions at different stages reveal the process of public opinion changing from quantitative to qualitative to some extent [5]. Yu et al and others considered the role of four subjects: the public, the media, the government, and opinion leaders for the online public opinion induced by the hazardous chemical spill accident in corporations.…”

Section: Literature Review and Analytical Frameworkmentioning

confidence: 99%

Generation Mechanism of Corporate Online Public Opinion Hotness Based on Multicase Qualitative Comparative Analysis

Wang

Sun

2021

Discrete Dynamics in Nature and Society

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Based on the actor network theory, this paper collects 20 representative corporate public opinion data through microblogs, uses the qualitative comparative analysis method to analyze these typical cases from the configuration perspective, identifies the elements and condition combination paths of corporate online public opinion hotness generation from four dimensions: enterprises, netizens, media, and government, and explores the generation mechanism of corporate network public opinion hotness. The results show three modes with high hotness of corporate network public opinion generation, which are internal and external linkage, internal leading, and external restriction. The public opinion hotness generation modes of consumers’ rights and interests and managers’ problems are different. Therefore, different measures should be taken to reduce the hotness of negative public opinion for different causes of corporate public opinion. Based on this, this paper puts forward some guidance suggestions, including strengthening the identification and contact with opinion leaders, strengthening the cooperation with the government and authoritative media, and strengthening the feedback response level of corporate network public opinion. This study helps to prevent and resolve public opinion crisis and provides reference for corporate public opinion governance.

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Section: Literature Review and Analytical Frameworkmentioning

confidence: 99%

Generation Mechanism of Corporate Online Public Opinion Hotness Based on Multicase Qualitative Comparative Analysis

Wang

Sun

2021

Discrete Dynamics in Nature and Society

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“…As an intelligent software, NetLogo has both Patches (static agents) and Turtles (movable agents) [74]. For the settings of agents, Meng et al used 200 media and 1400 netizens to simulate online public crisis events, and these numbers grew at each time [75]. Zhong set different shapes of agents (netizens) in NetLogo, to distinguish opinion leaders [76].…”

Section: Static Settings Of Agentsmentioning

confidence: 99%

Agent-based modeling and life cycle dynamics of COVID-19-related online collective actions

Zhang

et al. 2021

Complex Intell. Syst.

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The outbreak of COVID-19 has greatly threatened global public health and produced social problems, which includes relative online collective actions. Based on the life cycle law, focusing on the life cycle process of COVID-19 online collective actions, we carried out both macro-level analysis (big data mining) and micro-level behaviors (Agent-Based Modeling) on pandemic-related online collective actions. We collected 138 related online events with macro-level big data characteristics, and used Agent-Based Modeling to capture micro-level individual behaviors of netizens. We set two kinds of movable agents, Hots (events) and Netizens (individuals), which behave smartly and autonomously. Based on multiple simulations and parametric traversal, we obtained the optimal parameter solution. Under the optimal solutions, we repeated simulations by ten times, and took the mean values as robust outcomes. Simulation outcomes well match the real big data of life cycle trends, and validity and robustness can be achieved. According to multiple criteria (spans, peaks, ratios, and distributions), the fitness between simulations and real big data has been substantially supported. Therefore, our Agent-Based Modeling well grasps the micro-level mechanisms of real-world individuals (netizens), based on which we can predict individual behaviors of netizens and big data trends of specific online events. Based on our model, it is feasible to model, calculate, and even predict evolutionary dynamics and life cycles trends of online collective actions. It facilitates public administrations and social governance.

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“…Ke et al [4] based on the Social Media Crisis Communication Theory (SMCC), combined with information dissemination technology succession theory (ICTs), used experimental methods to explore the sequence of information dissemination and the impact of crisis types on forwarding willingness and forwarding valence. Meng et al [5] researched the model and mechanism of interpersonal crisis information crisis information dissemination mechanism under mobile Internet environment; based on the research results, it is pointed out that for the interpersonal crisis information crisis information dissemination mechanism under mobile Internet environment, the state variation of the node is influenced by the link strength and structural features of the network, and the mobile Internet is the key medium to realize the crisis information dissemination. (2) Research on information dissemination stage: Robert Heath proposed the earliest diffusion model of 4R dissemination stage: reduction, readiness, response and recovery; Steven Fink divided information dissemination and diffusion into four periods: potential period, burst period, spread period and solution period.…”

Section: Introductionmentioning

confidence: 99%

Simulation and modeling of microblog-based spread of public opinions on emergencies

Jing-hua

Zeng

Jiang-tao

et al. 2020

Neural Comput & Applic

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The crux to emergency management is public opinion control, while the key to public opinion control is the control of online spread of information about emergencies, premised on the study of online information flow about emergencies in order to effectively warn against and channel emergencies and prevent the spread and deterioration of information about a crisis in the spread of such information. Based on the complex network theory, information spread theory and disease spread theory, as well as a study of the Wenling doctor murdering case, a model about the spread of information on emergencies is constructed by combining empirical data and simulation experiments. Through the verification and analysis of the simulation results, the rationality of the model and the simulation results is proved, thus providing an approach of modeling and analysis that can be used for reference in subsequent research on the spread of information about emergencies through multi-information spread sources. This research has certain reference value for establishing an information spread control and guidance mechanism.

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A multi-agent model for simulation of public crisis information dissemination

Cited by 8 publications

References 12 publications

Generation Mechanism of Corporate Online Public Opinion Hotness Based on Multicase Qualitative Comparative Analysis

Generation Mechanism of Corporate Online Public Opinion Hotness Based on Multicase Qualitative Comparative Analysis

Agent-based modeling and life cycle dynamics of COVID-19-related online collective actions

Simulation and modeling of microblog-based spread of public opinions on emergencies

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