Visualization in Pajek: This function writes a Pajek .net file from a MATLAB connection matrix.
writetoPAJ.m (BU, BD networks).
Contributor: CH.
Visualization in Connectome Viewer: The Connectome Viewer can visualize MATLAB connection matrices directly.
visualization instructions (external link).
Contributor: Stephan Gerhard.
Three-dimensional network visualization: This function allows to plot a three-dimensional network in MATLAB, using provided input coordinates
adjacency_plot_und.m (BU network).
Contributor: RB.
Grid communities: This function reorders the network according to community structure and visualizes ('grids') communities directly on the matrix.
grid_communities.m (BU, WU, BD, WD networks).
Contributor: RB.
Network backbone: The network backbone contains the dominant connections in the network and may be used to aid network visualization. This function computes the network backbone using a minimum-spanning-tree based algorithm.
backbone_wu.m (BU, WU networks).
Contributor: OS.
Matrix alignment with simulated annealing: This function uses a version of simulated annealing to align two matrices, by reordering nodes in one of the matrices.
align_matrices.m (BU, BD, WU, WD networks).
Contributors: YA, OS.
Node reordering with simulated annealing: This function uses a version of simulated annealing to reorder nodes in order to maximize the number of edges close to the main diagonal.
reorder_matrix.m (BU, BD, WU, WD networks).
Contributors: YA, OS.
Node reordering by modular structure: This function uses the network community structure to reorder nodes in order to maximize the number of edges close to the main diagonal.
reorder_mod.m (BU, BD, WU, WD networks).
Contributor: MR.
Node reordering: This function reorders nodes in order to maximize the number of edges close to the main diagonal.Â
reorderMAT.m (BU, BD, WU, WD networks).
Contributor: OS.