{"title":"社会网络中改进的CSIR信息传播模型","authors":"Feng Ding, Bingxin He, Chao Li, Lan Lan","doi":"10.1109/CITS.2017.8035344","DOIUrl":null,"url":null,"abstract":"In this paper, considering the influence of community structure and the importance of community partition methods, we propose an improved community/susceptible/infective/removed (CSIR) information propagation model. In our improved CSIR model, we use two methods, uniform-center and cluster-center to improved K-means used in CSIR model. We compare the improved CSIR model with the original CSIR model, and analyze the importance of community structure. We also show the difference between uniform-center method and cluster-center method. Then, we simulate the improved CSIR model in both BA and WS model network.","PeriodicalId":314150,"journal":{"name":"2017 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An improved CSIR information propagation model in social networks\",\"authors\":\"Feng Ding, Bingxin He, Chao Li, Lan Lan\",\"doi\":\"10.1109/CITS.2017.8035344\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, considering the influence of community structure and the importance of community partition methods, we propose an improved community/susceptible/infective/removed (CSIR) information propagation model. In our improved CSIR model, we use two methods, uniform-center and cluster-center to improved K-means used in CSIR model. We compare the improved CSIR model with the original CSIR model, and analyze the importance of community structure. We also show the difference between uniform-center method and cluster-center method. Then, we simulate the improved CSIR model in both BA and WS model network.\",\"PeriodicalId\":314150,\"journal\":{\"name\":\"2017 International Conference on Computer, Information and Telecommunication Systems (CITS)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Computer, Information and Telecommunication Systems (CITS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CITS.2017.8035344\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Computer, Information and Telecommunication Systems (CITS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CITS.2017.8035344","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An improved CSIR information propagation model in social networks
In this paper, considering the influence of community structure and the importance of community partition methods, we propose an improved community/susceptible/infective/removed (CSIR) information propagation model. In our improved CSIR model, we use two methods, uniform-center and cluster-center to improved K-means used in CSIR model. We compare the improved CSIR model with the original CSIR model, and analyze the importance of community structure. We also show the difference between uniform-center method and cluster-center method. Then, we simulate the improved CSIR model in both BA and WS model network.