pymnet: A Python Library for Multilayer Networks

Speaker: Arash Badie-Modiri

Website: https://mnets.github.io

Abstract: Multilayer networks extend classical network representations to capture the rich, intertwined relationships found in modern data, whether they describe transportation systems, social interactions, biological pathways, or brain connectivity. pymnet is an open-source Python library designed to make multilayer-network analysis as accessible and efficient as single-layer graph analysis, while providing powerful visualisation, graphlet and isomorphism analysis and random multilayer generative models. In this talk I will motivate the need for multilayer representations and introduce pymnet’s approach and interface. The talk will also focus on the challenges and hard-won lessons of modernising and maintaining long-running scientific software, especially software with dependencies on native extensions, in a fast-moving Python ecosystem.