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.
My past use cases can be found in their respective directories under
./examples. See the
notebook.py files for
explanations and data analysis. They can be opened in Jupyter with the