Visual Analytics Of Big Complex Networks
报告题目: Visual Analytics Of Big Complex Networks
报告人: Seok-Hee Hong教授
Recent technological advances have led to big complex network models in many domains, including social networks and biological networks. Good visualisation can reveal the hidden structure of networks and amplifies human understanding, thus leading to new insights and findings. However, visualisation of massive complex networks is challenging due to scalability and complexity. This talk will address the challenging issues for visual analytics of big complex networks, and review latest methods for visual analytics of such networks.
Seok-Hee Hong is a professor and a Future Fellow at the University of Sydney. Her research interests include Graph Drawing, Algorithms, Information Visualisation and Visual Analytics. She serves as a Steering Committee member of Graph Drawing Symposium, IEEE Pacificvis Symposium, and ISAAC(International Symposium on Algorithms and Computation), and an editor of JGAA(Journal of Graph Algorithms and Applications) and IEEE CGA(Computer Graphics and Applications).