Overview

lifecycles is a Python package designed to support the temporal analysis of groups of items. The analysis of such entities – be they graph nodes, records in a dataset, or any other kind of data point, – as well as of the groups they form, is fundamental in a wide range of fields, including social network analysis, epidemiology, and business intelligence.

Goals

lifecycles aims to provide:

• a simple framework to model clusters of entities and their evolution over time at scale;

• measures to quantify the evolution according to informative dimensions;

• tools to investigate the relationship between the evolution of clusters and individual entities’ metadata;

• visual analytics facilities to summarize analytical results.

Future releases will include enhanced support for statistical analysis to assess the significance of the observed patterns, and to support the development of predictive models.

Intended Audience

The potential audience for lifecycles includes researchers and practitioners in the fields of computer science, AI, and social sciences, business intelligence.