{"title":"知识协作中个体意见演化随机性评价指标体系研究","authors":"Fang Yue, Zongbo Mu, Han Zhang, Peng Huang","doi":"10.1109/ICITBE54178.2021.00044","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":207276,"journal":{"name":"2021 International Conference on Information Technology and Biomedical Engineering (ICITBE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on the Evaluation Index System of Randomness of Individual Opinion Evolution in Knowledge Collaboration\",\"authors\":\"Fang Yue, Zongbo Mu, Han Zhang, Peng Huang\",\"doi\":\"10.1109/ICITBE54178.2021.00044\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":207276,\"journal\":{\"name\":\"2021 International Conference on Information Technology and Biomedical Engineering (ICITBE)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Information Technology and Biomedical Engineering (ICITBE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICITBE54178.2021.00044\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Information Technology and Biomedical Engineering (ICITBE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITBE54178.2021.00044","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.