Visualizing global properties of large complex networks.

ABSTRACT:

Unlabelled

For complex biological networks, graphical representations are highly desired for understanding some design principles, but few drawing methods are available that capture topological features of a large and highly heterogeneous network, such as a protein interaction network. Here we propose the circular perspective drawing (CPD) method to visualize global structures of large complex networks. The presented CPD combines the quasi-continuous search (QCS) analogous to the steepest descent method with a random node swapping strategy for an enhanced calculation speed. The CPD depicts a network in an aesthetic manner by showing connection patterns between different parts of the network instead of detailed links between nodes. Global structural features of networks exhibited by

SUBMITTER: Li W 

PROVIDER: S-EPMC2481276 | biostudies-literature | 2008 Jul

REPOSITORIES: biostudies-literature