Version 2017-15-01: Major update

Post date: Jan 15, 2017 6:44:58 PM

New network models

• generate_fc.m: Generation of synthetic functional connectivity matrices based on structural network measures.

• predict_fc.m: Prediction of functional connectivity matrices from structural connectivity matrices.

• mleme_constraint_model.m: Unbiased sampling of networks with soft module and hub constraints (maximum-likelihood estimation of maximum entropy networks).

New measures and demos

• clique_communities.m: Overlapping community structure via the clique percolation method.

• rentian_scaling_2d.m and rentian_scaling_3d.m: Updated rentian scaling functions to replace rentian_scaling.m.

• diffusion_efficiency.m: Global mean and pair-wise effiency based on a diffusion process.

• distance_wei_floyd.m: All pairs shortest paths via the Floyd-Warshall algorithm.

• mean_first_passage_time.m: Mean first passage time.

• path_transitivity.m: Transitivity based on shortest paths.

• resource_efficiency_bin.m: Resource efficiency and shortest path probability.

• rout_efficiency.m: Mean, pair-wise and local routing efficiency.

• retrieve_shortest_path.m: Retrieval of shortest path between source and target nodes.

• search_information.m: Search information based on shortest paths.

• demo_efficiency_measures.m: Demonstration of efficiency measures.

Removed functions

• rentian_scaling.m: Replaced with rentian_scaling_2d.m and rentian_scaling_3d.m.

Bug fixes and/or code improvements and/or documentation improvements

• efficiency_wei.m: Included a modified weighted variant of the local efficiency.

• partition_distance.m: Generalized computation of distances to input partition matrices.

• clustering_coef_wu_sign.m: Fixed computation of the denominator in the Constantini and Perugini versions of the weighted clustering coefficient.

• modularity_dir.m and modularity_und.m: Updated documentation and simplified code to clarify that these are deterministic algorithms.

• weight_conversion.m: Corrected bug in weight autofix.

Cosmetic and MATLAB code analyzer (mlint) improvements to many other functions