Welcome to Structify_net’s documentation!

What is Structify_net?

Structify_net is a python library allowing to create networks with a predefined structure, and a chosen number of nodes and links.

The principle is to use a common framework to encompass community/bloc structure, spatial structure, and many other types of structures.

More specifically, a structure is defined by:

• a number of nodes n

• a ranking of all the pairs of nodes, from most likely to be present to less likely to be present.

We can instanciate such a model using the Rank_model class.

This abstract structure can be instanciated into a graph generator by adding:

• An expected number of edges m

• a probability distribution assigning a probability of observing an edge to each rank

We can instanciate such a model using the Graph_generator class.

This library also contains a set of tools to visualize (viz) and score (scoring)the resulting networks.

• Welcome to Structify_net’s documentation!
• Introduction to Structify_Net
  • Step 1: Graph properties definition
  • Step 2: Structure definion
  • Step 3: Edge probability definition
  • Step 4: Generate a graph from edge probabilities
  • Whole process in a function
  • Structure Zoo
  • Graph description
  • Models Profiling
  • Comparing with an observed network
  • Details of models matching
• Classes
  • Introduction
  • Details of the classes
• Structure Zoo
  • Individual models
  • function to get instanciated model collections
• Visualization
  • Individual models
• Scoring
  • Individual scoring functions
  • Useful functions