Compressed Population-scale Network Netherlands 2009-2023 in MLN format

Each yearly network is directed and unweighted consisting of edges of 32 different types or layers belonging to 5 larger layer categories (called groups in the object) corresponding to the Microdata person network tables. The MLN objects follow the intermediate format required for fast loading by the mlnlib Python library (pypi.org/project/mlnlib), with each yearly network consisting of the following three files: layers.csv (list of layers and layer groups), nodes.csv.gz (node table with attributes, compressed CSV), and edges.npz (sparse adjacency matrix using 64‑bit unsigned integers to encode layer presence using a binary encoding).

The mlnlib library which uses this as a native format can installed through ‘pip’ in a Python environment, as such, it can be requested when setting up a Microdata project. Please check "Notes" for the general description of the micro databases such as the definition of the population, methodological details and the quality and origin of the data. In "Notes", you can find a description of the format of the database and the list of all possible scores for the categorical variables and their significance.