{"title":"Infographics Application for Visualization of E-Sports Gaming Activity","authors":"N. Spiricheva, S. Akulich","doi":"10.1109/ICISCT47635.2019.9011849","DOIUrl":null,"url":null,"abstract":"After the inclusion of e-sports disciplines in a number of sporting events, betting companies began to actively interact with these sports. There was a need to collect and analyze information in a completely new direction, a feature of which is a large amount of information and a huge audience. The developed system for collecting statistics and subsequent analysis of e-sports events using the example of the “Dota 2” e-sports discipline. The system is designed for both players and betting organizations and people betting on upcoming matches. The paper analyzes data visualization methods. Information is presented in the most ergonomic form, like linear diagrams.","PeriodicalId":170576,"journal":{"name":"2019 International Conference on Information Science and Communications Technologies (ICISCT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Information Science and Communications Technologies (ICISCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISCT47635.2019.9011849","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
After the inclusion of e-sports disciplines in a number of sporting events, betting companies began to actively interact with these sports. There was a need to collect and analyze information in a completely new direction, a feature of which is a large amount of information and a huge audience. The developed system for collecting statistics and subsequent analysis of e-sports events using the example of the “Dota 2” e-sports discipline. The system is designed for both players and betting organizations and people betting on upcoming matches. The paper analyzes data visualization methods. Information is presented in the most ergonomic form, like linear diagrams.
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