Reference

Below is a comprehensive overview of the ash_model API organized by module.

Classes

This module contains the core classes used in the ASH model. Specifically, it includes the ASH class to represent the model itself, and the NProfile class for node profiles.

• Classes

Measures

This section includes various measures that can be computed on ASH models.

• Attribute Analysis
• Clustering
• Hyper Conformity
• Hyper Segregation
• Centralities

MultiEgo

This module provides functions for multi-ego network analysis, including core identification, similarity measures, and fracture analysis.

• Multi-Ego Networks

Generators

This module provides functions to generate synthetic ASH models with specific properties, such as random hypergraphs or hypergraphs with controlled attribute homogeneity.

• Generators

Paths and Walks

This module includes pathfinding and random walk generation algorithms for ASH models. Notably, it includes s-walks and time-respecting walks.

• Walks
• Time-Respecting Walks
• Random Walks

I/O

This module provides functions to import/export ASH models from/to JSON, CSV, and HIF.

• Read/Write

Utils

This module provides various utility functions for working with ASH models, including matrix transformations, projections, networkx conversions, and profile manipulations.

• Utils

Visualization

• Visualization