Modeling of agent-based complex network under cyber-violence

Huang, Chuanchao; Hu, Bin; Jiang, Guoyin; Yang, Ruixian

doi:10.1016/j.physa.2016.03.066

Cited by 27 publications

(20 citation statements)

References 37 publications

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“…where α(t) increases with time t and 0 <α ≤ 1. μ is used to illustrate the impact index of α(t), and it is usually equal to 4. β denotes the evolution rate, and β ∈ [1,4]. c represents the opinion decay time and is ranged from 10 to 30. erefore, after introducing parameter α, the opinion update modeling for the ordinary agent i is as follows:…”

Section: Complexitymentioning

confidence: 99%

“…Essentially, as discussed above, "public opinion reversal" involves minor agents persuading the majority to change opinions. e size of agents (or nodes) is n � 1000 in the social system simulated here according to the literature [1]. Each individual agent i has a state value of initial opinion, and let x i ∈ [−1, 1].…”

Section: Simulation Scenario and Experimental Designmentioning

confidence: 99%

“…is indicates that their opinions will be updated with the interaction between agents, rather than the natural reversal parameter (the same is for the analyses below). us, in order to study the impact of proportion of group opinions' tendency on public opinion natural reversal in a social system, we set the rate of individuals with a positive attitude tendency to values of P s ∈ [0.5, 0.6, 0.7, 0.8, 0.9] because the majority is over 0.5 in most public opinion models [1], and the other default parameters are shown in Table 2. Figure 8 presents the simulation results for the opinion evolution in the social system with different values of parameter P s .…”

Section: Impact Of Proportion Of Group Opinions' Tendency Onmentioning

confidence: 99%

“…is emergent social phenomenon is called opinion reversal [1], and the documentary Under the Dome released by the Chinese journalist Chai Jing in 2015 is one of the most famous examples.…”

Section: Introductionmentioning

confidence: 99%

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Modeling and Simulation of Opinion Natural Reversal Dynamics with Opinion Leader Based on HK Bounded Confidence Model

Xiao

Hou

2020

Complexity

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Opinion natural reversals are important and common phenomena in network management. It is a naturally emerging process of opinions characterized by interactions between individuals and the evolution of attitudes themselves. To explore the underlying mechanism of this social phenomenon and to reveal its dynamic traits, we propose here a novel model which takes the effects of natural reversal parameter and opinion interaction on the individual’s view choice behavior into account based on the Hegselmann and Krause (HK) bounded confidence model. Experimental results show that the evolution of individual opinions is not only influenced by the interactions between neighboring individuals but also updated naturally due to individual factors themselves in the absence of interaction, which in turn proves that the proposed model can provide a reasonable description of the entire process of public opinion natural reversal under the Internet environment. Besides, the proportion of group opinion tendency, network topology, identification method, and the influence weight of opinion leader will play significant roles in this process, which further indicates our improved model is very robust and thus can provide some insightful evidence to understand the phenomena of opinion natural reversal.

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Section: Complexitymentioning

confidence: 99%

Section: Simulation Scenario and Experimental Designmentioning

confidence: 99%

Section: Impact Of Proportion Of Group Opinions' Tendency Onmentioning

confidence: 99%

“…is emergent social phenomenon is called opinion reversal [1], and the documentary Under the Dome released by the Chinese journalist Chai Jing in 2015 is one of the most famous examples.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modeling and Simulation of Opinion Natural Reversal Dynamics with Opinion Leader Based on HK Bounded Confidence Model

Xiao

Hou

2020

Complexity

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“…Thus, an improved opinion dynamics model was advanced for understanding the evolution laws of reversal of online public opinion from the perspective of statistical physics [9,47]. (2) In the online public opinion structure reversal of NIMBY conflict event, the participants impaired from a policy were less and less satisfied with this imposed distribution pattern.…”

Section: Related Workmentioning

confidence: 99%

Structure Reversal of Online Public Opinion for the Heterogeneous Health Concerns under NIMBY Conflict Environmental Mass Events in China

Hou

Xiao

2020

Healthcare

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Public opinions play an important role in the formation of Not in My Back Yard (NIMBY) conflict environmental mass events. Due to the continual interactions between affected groups and the corresponding government responses surrounding the public interests related to health, online public opinion structure reversal arises frequently in NIMBY conflict events, which pose a serious threat to social public security. To explore the underlying mechanism, this paper introduces an improved dynamic model which considers multiple heterogeneities in health concerns and social power of individuals and in government’s ability. The experimental results indicate that the proposed model can provide an accurate description of the entire process of online public opinion structure reversal in NIMBY conflict environmental mass incidents on the Internet. In particular, the proportion of the individual agents without health interest appeals will delay the online public opinion structure reversal, and the upper threshold remains within regulatory limits from 0.4 to 0.5. Unlike some previous results that show that the guiding powers of the opinion leaders varied over its ratio in a fixed-sized group, our results suggest that the impact of opinion leaders is of no significant difference for the time of structure reversal after it increased to about 6%. Furthermore, a double threshold effect of online structure reversal during the government’s response process was observed. The findings are beneficial for understanding and explaining the process of online public opinion structure reversal in NIMBY conflict environmental mass incidents, and provides theoretical and practical implications for guiding public or personal health opinions on the Internet and for a governments’ effective response to them.

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Factors Influencing Social Media Forgiveness Behavior and Cyber Violence Tendency Among Chinese Youth: Moderating Effects of Forgiveness Climate and Risk Perception

Chen,

Guo,

Zeng

2023

Lecture Notes in Computer Science

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Modeling of agent-based complex network under cyber-violence

Cited by 27 publications

References 37 publications

Modeling and Simulation of Opinion Natural Reversal Dynamics with Opinion Leader Based on HK Bounded Confidence Model

Modeling and Simulation of Opinion Natural Reversal Dynamics with Opinion Leader Based on HK Bounded Confidence Model

Structure Reversal of Online Public Opinion for the Heterogeneous Health Concerns under NIMBY Conflict Environmental Mass Events in China

Factors Influencing Social Media Forgiveness Behavior and Cyber Violence Tendency Among Chinese Youth: Moderating Effects of Forgiveness Climate and Risk Perception

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