TL;DR
netrd is an open-source Python library that provides a comprehensive collection of tools for reconstructing networks from data and comparing network structures, facilitating research in network science.
Contribution
It introduces the most extensive collection of network reconstruction and comparison techniques in a single, accessible Python package, addressing key challenges in network inference and analysis.
Findings
Provides a unified library for network reconstruction and comparison
Enables systematic evaluation of different network inference methods
Widely adopted in the network science community
Abstract
Over the last two decades, alongside the increased availability of large network datasets, we have witnessed the rapid rise of network science. For many systems, however, the data we have access to is not a direct description of the underlying network. More and more, we see the drive to study networks that have been inferred or reconstructed from non-network data---in particular, using time series data from the nodes in a system to infer likely connections between them. Selecting the most appropriate technique for this task is a challenging problem in network science. Different reconstruction techniques usually have different assumptions, and their performance varies from system to system in the real world. One way around this problem could be to use several different reconstruction techniques and compare the resulting networks. However, network comparison is also not an easy problem,…
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