supported by National Natural Science Foundation of China(62132017);Fundamental Research Funds for the Central Universities,China(226-2022-00235).
One main challenge for simplifying node-link diagrams of large-scale social networks lies in that simplified graphs generally contain dense subgroups or cohesive subgraphs.Graph triangles quantify the solid and stable...
the Ministry of National Education,Turkey for financially supporting the first author’s PhD study at Newcastle University,UK.
Node-link visual representation is a widely used tool that allows decision-makers to see details about a network through the appropriate choice of visual metaphor.However,existing visualization methods are not always ...
supported by National Natural Science Foundation of China(61772456).
Authoring graph visualization poses great challenges to developers due to its high requirements on both domain knowledge and development skills.Although existing libraries and tools reduce the difficulty of generating...
This paper is supported by National Natural Science Founda-tion of China(61772456).
Graph visualization plays an important role in several fields,such as social media networks,protein-protein interaction networks,and traffic networks.A number of visualization design tools and programming toolkits hav...
This survey began as part of a working group output of the NII Shonan Seminar No.2015-1 Big Graph Drawing:Metrics and Methods,and we would like to thank this seminar series for the role it played in this survey;We would like to thank Tamara Munzner for her ideas and feedback at this seminar which helped focus the topic of this paper.The second author would like to thank EPSRC First Grant EP/N005724/1;The last author would like to thank the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 747985;This work was supported by the Australian Research Council Discovery Project grant DP140100077.
For decades,researchers in information visualisation and graph drawing have focused on developing techniques for the layout and display of very large and complex networks.Experiments involving human participants have ...