Visualisation of Scale-free Networks

Collaboration with Staffs and Students at the University of Sydney and NICTA VALACON Project memebrs.


Adel Ahmed, Tim Dwyer, Seok-Hee Hong, Colin Murray, Le Song, Ying Xin Wu, Visualisation and Analysis of Large and Complex Scale-free Networks, Proc. of EuroVis 2005 (EUROGRAPHICS-IEEE VGTC Symposium on Visualization), pp. 1-8, IEEE, 2005.

Scale-free networks appear in many application domains such as social and biological networks. Roughly speaking, scale-free networks have power-law degree distribution, ultra-short average path length and high clustering coefficient [BA99, BB03, BO04]. This paper presents new methods for visualising scale-free networks in three dimensions. To make effective use of the third dimension and minimise occlusion, we produce graph visulaisations with nodes constrained to lie on parallel planes or on the surface of spheres. We implement the algorithms using a variation of a fast force-directed graph layout method. Results with real world data sets such as IEEE InfoVis citation and collaboration networks and a protein-protein interaction network show that our method can be useful for visual analysis of large and complex scale-free networks. We also discuss the issue of visualisation of evolving networks and network integration

 
 
 
 



Visualisation of various scale-free networks including social networks (collaboration networks and citation networks) and biological networks (Protein-Protein Interaction networks and metabolic pathways).