#cnetworks

This is the source code repository for the library I have developed working on my engineer's thesis:

The impact of hidden links in a complex network on the efficiency of the information source location

It comprises a set of tools for creating, manipulating and inspecting the properties of complex networks. Some features include: the implementation of the Erdos-Renyi and Barabási-Albert models of a complex network as well as the Pinto and Pearson algorithms for finding the diffusion source.

See the docs.rs documentation for details.

#Examples

My past use cases can be found in their respective directories under ./examples.

Each example is acompanied with a Jupyter Notebook, which contains my analysis. These notebook are kept as plain *.py files in "percent" format and can be used via Jupytext