知识协作中个体意见演化随机性评价指标体系研究

Fang Yue, Zongbo Mu, Han Zhang, Peng Huang
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引用次数: 0

摘要

在知识协作中,提出了一种基于统计指标的个体行为不确定性度量方法,为基于随机过程的意见演化模型的应用提供了判断依据。结合意见演化模型,构建了检验个体意见随机性的指标体系。指标体系主要包括频率试验、运行试验和顺序试验等多种试验方法,并对多次试验结果进行加权求和。从多个角度综合判断个体意见的随机特征,推断个体特征。通过实验验证了所构建指标体系的合理性和有效性,有助于更好地理解个体互动支配下的意见演化过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the Evaluation Index System of Randomness of Individual Opinion Evolution in Knowledge Collaboration
In knowledge collaboration, a method for measuring the uncertainty of individual behavior based on statistical indicators is proposed, which provides a basis for judging the application of the opinion evolution model based on stochastic processes. Combined with the opinion evolution model, an index system for testing the randomness of individual opinions is constructed. The index system mainly includes multiple test methods, such as frequency test, runs test and sequence test, and aggregates multiple test results by weighted summation. Comprehensively judge the random characteristics of individual opinion from multiple perspectives and infer individual characteristics. The rationality and effectiveness of the constructed index system are verified with the experiments, which is helpful to better understand the evolutionary process of opinions under the domination of individual interaction.
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