{"title":"使用萨蒙投影的社会网络动态可视化","authors":"M. Radvanský, M. Kudelka, Z. Horak, V. Snás̃el","doi":"10.1109/CASoN.2013.6622600","DOIUrl":null,"url":null,"abstract":"Visualization is an important part of network analysis. It helps find features of the network that are not easily identifiable. Visualization dynamics of the network is very useful. Evolution of network and communities during time can help us understand social mechanisms behind the network. Visualization of the dynamics is not an easy task. There are several issues that have to be solved for correct visualization. We present our approach to the visualization of weighted networks based on Sammon's projection and linear approximation. Our goal in this paper is to introduce a method for visualizing dynamics of the social network. Results are illustrated by several 3D layout snapshots of the co-authorship network extracted from the DBLP database.","PeriodicalId":221487,"journal":{"name":"2013 Fifth International Conference on Computational Aspects of Social Networks","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Visualization of social network dynamics using Sammon's projection\",\"authors\":\"M. Radvanský, M. Kudelka, Z. Horak, V. Snás̃el\",\"doi\":\"10.1109/CASoN.2013.6622600\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Visualization is an important part of network analysis. It helps find features of the network that are not easily identifiable. Visualization dynamics of the network is very useful. Evolution of network and communities during time can help us understand social mechanisms behind the network. Visualization of the dynamics is not an easy task. There are several issues that have to be solved for correct visualization. We present our approach to the visualization of weighted networks based on Sammon's projection and linear approximation. Our goal in this paper is to introduce a method for visualizing dynamics of the social network. Results are illustrated by several 3D layout snapshots of the co-authorship network extracted from the DBLP database.\",\"PeriodicalId\":221487,\"journal\":{\"name\":\"2013 Fifth International Conference on Computational Aspects of Social Networks\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Fifth International Conference on Computational Aspects of Social Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CASoN.2013.6622600\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Fifth International Conference on Computational Aspects of Social Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CASoN.2013.6622600","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Visualization of social network dynamics using Sammon's projection
Visualization is an important part of network analysis. It helps find features of the network that are not easily identifiable. Visualization dynamics of the network is very useful. Evolution of network and communities during time can help us understand social mechanisms behind the network. Visualization of the dynamics is not an easy task. There are several issues that have to be solved for correct visualization. We present our approach to the visualization of weighted networks based on Sammon's projection and linear approximation. Our goal in this paper is to introduce a method for visualizing dynamics of the social network. Results are illustrated by several 3D layout snapshots of the co-authorship network extracted from the DBLP database.
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