Anastasia A. Lantseva, Claudia K. Bochenina, S. Ivanov
{"title":"随机Kronecker图上动态过程并行建模的可视化","authors":"Anastasia A. Lantseva, Claudia K. Bochenina, S. Ivanov","doi":"10.1109/ICAICT.2016.7991667","DOIUrl":null,"url":null,"abstract":"This article focuses on the visualization of parallel modeling of dynamic processes on complex networks. The proposed method based on the parallel visualization of each part of parallel algorithm of modeling. This approach is applied to visualization of the stochastic Kronecker graph. The experiments have shown that our approach facilitates the visual analysis and helps to investigate the dynamic processes into network.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Visualization of parallel modeling of dynamical processes on stochastic Kronecker graphs\",\"authors\":\"Anastasia A. Lantseva, Claudia K. Bochenina, S. Ivanov\",\"doi\":\"10.1109/ICAICT.2016.7991667\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article focuses on the visualization of parallel modeling of dynamic processes on complex networks. The proposed method based on the parallel visualization of each part of parallel algorithm of modeling. This approach is applied to visualization of the stochastic Kronecker graph. The experiments have shown that our approach facilitates the visual analysis and helps to investigate the dynamic processes into network.\",\"PeriodicalId\":446472,\"journal\":{\"name\":\"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAICT.2016.7991667\",\"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 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAICT.2016.7991667","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Visualization of parallel modeling of dynamical processes on stochastic Kronecker graphs
This article focuses on the visualization of parallel modeling of dynamic processes on complex networks. The proposed method based on the parallel visualization of each part of parallel algorithm of modeling. This approach is applied to visualization of the stochastic Kronecker graph. The experiments have shown that our approach facilitates the visual analysis and helps to investigate the dynamic processes into network.
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