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OnionGraph: Hierarchical topology+attribute multivariate network visualization

Lei Shi, Qi Liao, Hanghang Tong, Yifan Hu, Chaoli Wang, Chuang Lin, Weihong Qian
2020 Visual Informatics  
OnionGraph allows nodes to be aggregated based on either node attributes, topology, or a hierarchical combination of both.  ...  Second, the multivariate nature of the network prohibits the visualization of all details of the topology and attribute information in the same picture.  ...  OnionGraph Framework Principle Hierarchical Topology+Attribute Abstraction.  ... 
doi:10.1016/j.visinf.2020.01.002 fatcat:wyu34yr6gje7tobnoqmpwb76fu

Hierarchical Focus+Context Heterogeneous Network Visualization

Lei Shi, Qi Liao, Hanghang Tong, Yifan Hu, Yue Zhao, Chuang Lin
2014 2014 IEEE Pacific Visualization Symposium  
Existing network visualizations have allowed nodes to be aggregated based on node attributes or network topology, each of which has its own advantages.  ...  OnionGraph allows nodes to be aggregated based on either node attributes, topology, or a mixture of both.  ...  By combining semantic and topological information for a hierarchical abstraction, OnionGraph enables the level-of-detail viewing of heterogeneous networks.  ... 
doi:10.1109/pacificvis.2014.44 dblp:conf/apvis/ShiLTHZL14 fatcat:7gckqigmzbd5hhxbpnhcbbqgha

Multivariate Network Layout Using Force-Directed Method with Attribute Constraints

Zhuang Xu, Tingyun Mao, Guangluan Xu, Yang Wang, Daoyu Lin
2022 Applied Sciences  
Thus, we propose a multivariate network layout method using the force-directed method with attribute constraints.  ...  Graph visualization with proper layout is widely applied to understand the relationship between entities in a complex system and the topological structure information is mainly used.  ...  Acknowledgments: The authors would like to thank all the colleagues for the fruitful discussions on Multivariate Network Layout. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app12094561 fatcat:bfm7paecgffi3p4keac5zrgdey

The State of the Art in Multi‐Layer Network Visualization

F. McGee, M. Ghoniem, G. Melançon, B. Otjacques, B. Pinaud
2019 Computer graphics forum (Print)  
This report provides a state of the art and a structured analysis of contemporary multilayer network visualization, not only for researchers in visualization, but also for those who aim to visualize multilayer  ...  networks in the domain of complex systems, as well as those developing systems across application domains.  ...  The OnionGraph application [SLT*14] provides a hierarchical focus and context approach targeted specifically towards heterogeneous data.  ... 
doi:10.1111/cgf.13610 fatcat:pdbyrre7qfeyjgv6f6p47ppqfy

The State of the Art in Multilayer Network Visualization [article]

Mohammad Ghoniem, Guy Melançon (LaBRI, UB), Benoit Otjacques
2019 arXiv   pre-print
This report provides a state of the art and a structured analysis of contemporary multilayer network visualization, not only for researchers in visualization, but also for those who aim to visualize multilayer  ...  networks in the domain of complex systems, as well as those developing systems across application domains.  ...  For a multivariate graph, node attributes could be used do divide the network into layers.  ... 
arXiv:1902.06815v1 fatcat:2hcdgae4dnctzkd2uiyf4cohqu

Visualizing large graphs

Yifan Hu, Lei Shi
2015 Wiley Interdisciplinary Reviews: Computational Statistics  
Throughout the paper we use the terms network and graph interchangably. A graph is traditionally visualized as a node-link diagram like Fig. 1 .  ...  With the prevailence of big data, there is a growing need for algorithms and techniques for visualizing very large and complex graphs.  ...  Right: OnionGraph of a host/domain-user-application network in a commodity Ethernet setting [90] .  ... 
doi:10.1002/wics.1343 fatcat:j4mg4hizwfbs3ky67j6d67uiqq