{"title":"识别社交网络中破坏性信息影响的问题","authors":"E. Okhapkina, A. Tarasov, V. Okhapkin","doi":"10.1109/DIPDMWC.2016.7529362","DOIUrl":null,"url":null,"abstract":"The article deals with the task of identifying the elements of the information influence in messages of social networks. Structural-logical scheme of solving the problem is described. We consider the cognitive aspects and approach to building patterns of network messages that contain the elements of information influence. It is presented scheme of weighting terms in network messages and the method of calculating the degree of proximity of the analyzed messages and patterns.","PeriodicalId":298218,"journal":{"name":"2016 Third International Conference on Digital Information Processing, Data Mining, and Wireless Communications (DIPDMWC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Problem of identifying destructive informational influence in social networks\",\"authors\":\"E. Okhapkina, A. Tarasov, V. Okhapkin\",\"doi\":\"10.1109/DIPDMWC.2016.7529362\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article deals with the task of identifying the elements of the information influence in messages of social networks. Structural-logical scheme of solving the problem is described. We consider the cognitive aspects and approach to building patterns of network messages that contain the elements of information influence. It is presented scheme of weighting terms in network messages and the method of calculating the degree of proximity of the analyzed messages and patterns.\",\"PeriodicalId\":298218,\"journal\":{\"name\":\"2016 Third International Conference on Digital Information Processing, Data Mining, and Wireless Communications (DIPDMWC)\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Third International Conference on Digital Information Processing, Data Mining, and Wireless Communications (DIPDMWC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DIPDMWC.2016.7529362\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Third International Conference on Digital Information Processing, Data Mining, and Wireless Communications (DIPDMWC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DIPDMWC.2016.7529362","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Problem of identifying destructive informational influence in social networks
The article deals with the task of identifying the elements of the information influence in messages of social networks. Structural-logical scheme of solving the problem is described. We consider the cognitive aspects and approach to building patterns of network messages that contain the elements of information influence. It is presented scheme of weighting terms in network messages and the method of calculating the degree of proximity of the analyzed messages and patterns.
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