详细信息

一类存在恶意观点的社会网络舆论演化与防御问题研究    

Evolution and Defense of Public Opinion in a Class of Social Networks with Malicious Opinions

文献类型:期刊文献

中文题名:一类存在恶意观点的社会网络舆论演化与防御问题研究

英文题名:Evolution and Defense of Public Opinion in a Class of Social Networks with Malicious Opinions

作者:丁文杰[1];杨文[1]

机构:[1]华东理工大学能源化工过程智能制造教育部重点实验室,上海200237

年份:2025

卷号:51

期号:3

起止页码:391

中文期刊名:华东理工大学学报(自然科学版)

外文期刊名:Journal of East China University of Science and Technology

收录:;北大核心:【北大核心2023】;

基金:国家重点研发计划项目(2023YFF1204805);国家自然科学基金(62336005,62122026)。

语种:中文

中文关键词:复杂网络;公共舆论;安全;社会网络;一致性;观点动力学

外文关键词:complex network;public opinion;security;social network;consensus;opinion dynamics

摘要:针对社会网络中的一类舆论安全问题,提出包含嫌疑人、防御者和普通个体的社会网络观点演化模型,将嫌疑人和防御者建模为带外源输入的网络节点,嫌疑人向其他个体传播恶意观点,防御者向其他个体传播积极观点,通过计算群体期望观点到恶意观点和积极观点的距离来判断公共舆论是否安全,据此确定了维护公共舆论安全的积极观点应满足的参数条件,并进一步分析社会群体期望观点收敛的充分条件,设计低成本的有效积极观点的计算方法。
A social network opinion model is proposed to address a type of public opinion security issue in social networks,which includes suspects,defenders,and ordinary individuals.Suspects and defenders are modeled as network nodes with external inputs.Suspects spread malicious opinions to other individuals,while defenders spread positive opinion to other individuals.The safety of public opinion is judged by comparing the distance between the expected opinions of the group and the malicious and positive opinions.Based on this,the parameter conditions that should be met to maintain the safety of public opinion are determined.Furthermore,the sufficient conditions for the convergence of expected opinions of social groups are analyzed,and a calculation method for designing low-cost,effective positive opinion is designed.Based on theoretical analysis and experimental verification,the following conclusions are obtained.If there is no defender in social networks,suspects can cause public opinion crises by spreading malicious opinion.When a public opinion crisis erupts,all individuals in the social network hold malicious opinion.If there are defenders in social networks,they can prevent public opinion crisis by spreading positive opinion.In this case,suspects in the social network can be detected according to abnormal update patterns of their opinions,further ensuring the safety of public opinion.In addition,it can be found that the number of suspects and defenders also affects the security level of public opinion.The more suspects,the greater the likelihood of triggering a public opinion crisis.The more defenders,the more likely to prevent the outbreak of public opinion crisis.

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