Introduction to the sknet Package

The sknet (or scikit-net) package is a Python library that provides machine learning algorithms for complex networks. Let’s learn about how the package is organized so we can use it to apply a different community detection algorithm to our networks. It’s important to notice that community detection can be considered a machine learning task in the same way that a clustering algorithm is.

Sknet general organization

The library is roughly organized into four different sections:

• Network construction: The methods available here are responsible for creating networks from tabular datasets and time series and vice-versa. This allows us to apply graph-specific machine learning tasks to different types of data.

• Supervised methods: These are the methods such as classification and regression algorithms are present here. They use available labels to predict new ones.

• Unsupervised ...