. Detecting Communities Based on Network Topology(NeTA)


NeTA is an algorithm for detecting communities in complex networks based on network topology.
It is thoroughly discussed in our paper:
Wei Liu, Matteo Pellegrini & Xiaofan Wang. Detecting Communities Based on Network Topology[J]. Scientific Reports. 2014, 4: srep05739.

You can download our latest release of Matlab codes here:
NeTA Matlab codes.

Instructions of NeTA app:
(1) Compatibility: Matlab 2014 or later;
(2) You need download the NeTA app and install it in Matlab (use install app option), then you can run it and input your network file in command line;
(3) The upload network files should be .mat format (adjacent matrix of network).


. Visualization of Complex Network Sampling System(VCNSS)


VCNSS is a system that people can operate various sampling methodologies to sample directed/undirected networks, and visualize the sampling outcomes in different layouts.

You can enter VCNSS here
Visualization of Complex Network Sampling System(VCNSS)