{"title":"大型无向图的快速多级绘制算法","authors":"Weihua Zhou, Jingwei Huang","doi":"10.1109/ICICSE.2008.27","DOIUrl":null,"url":null,"abstract":"Graph drawing is a standard means for visualizing the relational information. This paper presents a fast algorithm for drawing large undirected graphs with straight-line edges, which employs the multi-level method as the framework of the algorithm and adopts the force-directed algorithm combined with bary-centralizing method to refine the single-level layouts. As far as we know, it is the first attempt to introduce this kind of combination. Also, the other two speed-up methods, constraint-normalization and quad-tree space decomposition, are used. Systematic experiments suggest its high performance and nice results. It is extremely fast and can nicely draw 10,000 vertex graphs in approximately 5 seconds and 1000,000 vertex graphs in approximately 11 minutes. The comparison with the well-known algorithms proves its validity and practicality. Furthermore, the presented algorithm is easy to implement, and its techniques can be generalized to speed up general force-directed algorithms.","PeriodicalId":333889,"journal":{"name":"2008 International Conference on Internet Computing in Science and Engineering","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Fast Multi-level Algorithm for Drawing Large Undirected Graphs\",\"authors\":\"Weihua Zhou, Jingwei Huang\",\"doi\":\"10.1109/ICICSE.2008.27\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Graph drawing is a standard means for visualizing the relational information. This paper presents a fast algorithm for drawing large undirected graphs with straight-line edges, which employs the multi-level method as the framework of the algorithm and adopts the force-directed algorithm combined with bary-centralizing method to refine the single-level layouts. As far as we know, it is the first attempt to introduce this kind of combination. Also, the other two speed-up methods, constraint-normalization and quad-tree space decomposition, are used. Systematic experiments suggest its high performance and nice results. It is extremely fast and can nicely draw 10,000 vertex graphs in approximately 5 seconds and 1000,000 vertex graphs in approximately 11 minutes. The comparison with the well-known algorithms proves its validity and practicality. Furthermore, the presented algorithm is easy to implement, and its techniques can be generalized to speed up general force-directed algorithms.\",\"PeriodicalId\":333889,\"journal\":{\"name\":\"2008 International Conference on Internet Computing in Science and Engineering\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-01-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Conference on Internet Computing in Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICSE.2008.27\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Conference on Internet Computing in Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICSE.2008.27","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Fast Multi-level Algorithm for Drawing Large Undirected Graphs
Graph drawing is a standard means for visualizing the relational information. This paper presents a fast algorithm for drawing large undirected graphs with straight-line edges, which employs the multi-level method as the framework of the algorithm and adopts the force-directed algorithm combined with bary-centralizing method to refine the single-level layouts. As far as we know, it is the first attempt to introduce this kind of combination. Also, the other two speed-up methods, constraint-normalization and quad-tree space decomposition, are used. Systematic experiments suggest its high performance and nice results. It is extremely fast and can nicely draw 10,000 vertex graphs in approximately 5 seconds and 1000,000 vertex graphs in approximately 11 minutes. The comparison with the well-known algorithms proves its validity and practicality. Furthermore, the presented algorithm is easy to implement, and its techniques can be generalized to speed up general force-directed algorithms.