| Title | Handling Complex Multilayer Networks—An Approach Based on Visual Network Analytics |
| Author | |
| Publication Years | 2021
|
| Language | English
|
| URL | [Source Record] |
| Abstract | We present a visual analytics framework to aid the investigation of dynamic multilayer networks, focusing on the visual tracking of evolving communities. We were challenged by edges not persistent in time, rather hectic, inducing communities that are “volatile”. Working closely with field experts, three complementary perspectives are developed to tackle this problem: times series summarizing a community’s behavior over time; drag and drop a selected community assessing how a community splits in time; augmented Sankey diagrams to investigate the split and merge patterns among multiple communities. Coupled with expert knowledge, we efficiently support tracking communities emerging from media events. |
| DOI | |
| Source Title | |
| Pages | 51-70
|
| ISSN | 1860-0832
|
| SUSTech Authorship | Others
|
| Scopus EID | 2-s2.0-85101175277
|
| Data Source | Scopus
|
| Corresponding Author | Melançon，Guy |
| EISSN | 1860-0840
|
| Citation statistics |
Cited Times [WOS]:0
|
| Document Type | Other |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/402796 |
| Department | Southern University of Science and Technology |
| Affiliation | 1.Université de Bordeaux,CNRS LaBRI UMR 5800,Bordeaux,France 2.Institute for Datability Science,Osaka University,Osaka,Japan 3.Southern University of Science and Technology (SUSTech),Shenzhen,China |
| Recommended Citation GB/T 7714 |
Melançon，Guy,Renoust，Benjamin,Ren，Haolin. Handling Complex Multilayer Networks—An Approach Based on Visual Network Analytics. 2021-01-01.
|
| Files in This Item: | There are no files associated with this item. | |||||
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