| 信息熵理论视角下网络集群行为主体的观点演化研究 |
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| 引用本文： | 李根强,刘莎,张亚楠,孟勇.信息熵理论视角下网络集群行为主体的观点演化研究[J].情报科学,2020,38(1):42-47. |
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| 作者姓名： | 李根强 刘莎 张亚楠 孟勇 |
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| 作者单位： | 新乡医学院心理学院,河南新乡453003;新乡医学院心理学院,河南新乡453003;新乡医学院心理学院,河南新乡453003;新乡医学院心理学院,河南新乡453003 |
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| 基金项目： | 教育部人文社科青年项目“群体性突发事件背景下情绪传播对集群行为的影响机制及其干预对策”(17YJCZH082);河南省哲学社会科学规划项目“调节聚焦视阈下网络舆情传播对集群行为的影响机制研究”(2017BSH008);河南省哲学社会科学规划项目“服务型领导对员工建言行为的作用机制”(2017BZZ005) |
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| 摘 要： | 【目的/意义】探究网络集群行为主体的观点演化机理，以期为引导和化解网络集群行为提供参考。【方法/ 过程】基于信息熵理论，借鉴有界信任模型中的HK模型，构建基于熵的观点演化模型并进行计算仿真实验，分析信 任阈值、观点自信度和群体异质性对网络集群行为主体观点演化的影响。【结果/结论】改进后的观点演化模型所需 的聚合轮次较少，网络社群观点演化能够较快的达到稳态；信任阈值对于网络集群行为主体的观点演化有正向影 响，信任阈值越小，观点聚合所需时间越短，最终观点集团数量越少；个体观点自信度对网络集群行为主体的观点 演化有正向影响，个体观点自信度越大，观点聚合所需时间越长，最终观点集团数量越多；初始阶段网络社群的群 体异质性越高，群体观点分布越具有偏向性，观点聚合所需时间越长，观点集团数量越多。
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| 关 键 词： | 信息熵 HK模型 网络集群行为 观点演化 网络社群 |
Research on the Opinion Evolution in Online Collective Behavior from the Perspective of Information Entropy |
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| LI Gen-qiang,LIU Sha,ZHANG Ya-nan,MENG Yong.Research on the Opinion Evolution in Online Collective Behavior from the Perspective of Information Entropy[J].Information Science,2020,38(1):42-47. |
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| Authors: | LI Gen-qiang LIU Sha ZHANG Ya-nan MENG Yong |
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| Institution: | (School of of Psychology,Xinxiang Medical College,Xinxiang 453003,Ch/na) |
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| Abstract: | Purpose/significanee]This paper explores the mechanism of viewpoint evolution in online collective behavior,in order to timely resolution of the network public opinion crisis.Method/process]Based on the theory of information entropy and the H-K model of bounded tmst model,an entropy-based viewpoint evolution model is constructed and simulated.The effects of trust threshold,viewpoint self-confidence and group heterogeneity on the viewpoint evolution of online collective behavior subject are analyzed.Result/conclusion]The results show that the opinio n evolution model requires fewer rounds of aggregation,and the group opinion can reach steady state quickly.Under the condition of low trust threshold,the number of opinions is lower,and the number of opinions with low trust threshold is higher.Individual self-confidence has a significant positive impact on the evolutionary time of group opinions.For the case where the group views are consistently aggregated,the greater the individual confidence,the longer the point of view aggregation time.The higher the group heterogeneity in the initial stage,the more biased the group view distribution is,and the larger the variance of the viewpoint distribution,the longer the time required for the viewpoint aggregation,and the more the number of viewpoint clusters. |
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| Keywords: | information entropy HK model online collective behavior opinion evolution network community |
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