Hui Li, Zhaoyi Chu, Ping Feng, Hongqiang Lv, Tan Wang, Jinhua Liu
{"title":"Application of maximum influence in scientific collaboration network","authors":"Hui Li, Zhaoyi Chu, Ping Feng, Hongqiang Lv, Tan Wang, Jinhua Liu","doi":"10.1109/YAC53711.2021.9486429","DOIUrl":null,"url":null,"abstract":"As global scientific researches are witnessing rapid and high-quality development, cooperation has become the development trend in scientific research. This article models social networks, explains in detail two common propagation models, and gives the definition of the problem of maximizing influence in social networks. On the basis of which, the maximization of influence is introduced into the scientific collaboration network. It’s mainly used to describe the cooperative contribution between scientific research scholars, the scientific research innovation ability and the academic leadership ability of the cooperative team. This paper proposes a method to find authors with greatest influence in scientific collaboration network, in order to mine the deep information within the scientific collaboration network.","PeriodicalId":107254,"journal":{"name":"2021 36th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"101 10","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 36th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/YAC53711.2021.9486429","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
As global scientific researches are witnessing rapid and high-quality development, cooperation has become the development trend in scientific research. This article models social networks, explains in detail two common propagation models, and gives the definition of the problem of maximizing influence in social networks. On the basis of which, the maximization of influence is introduced into the scientific collaboration network. It’s mainly used to describe the cooperative contribution between scientific research scholars, the scientific research innovation ability and the academic leadership ability of the cooperative team. This paper proposes a method to find authors with greatest influence in scientific collaboration network, in order to mine the deep information within the scientific collaboration network.