Nest
The NEtwork Statistic (NEST) generation package is designed to give a quick and easy way to produce in depth initial exploratory analysis of a network dataset.
This framework where given an input graph, of any type,
directed or undirected,
temporal or static,
with (or without) node attributes
with (or without) edge attributes
node and/or edge attributes, temporal or {static}, and will produce an exhaustive range of statistics summerising this graph, in a nicely presented document in numerous formats, namely:
Pdf
Csv
Html
Others to follow
The outputs are designed to allow a reseacher/data scientist to quickly evaluate a dataset, or to share crucial statistics of a dataset with others.
The statistics in question cover many different areas of network science,
leveraging several python based network science libraries, with a strong
emphasis on the excellent networkx library. They include:
Basic summary statistics (number of nodes etc)
Centrality Measures
Community structure
Path based measures
Spectral measures
Motif measures
Time series measures
Further, we strongly encourage others to contribute either your own measures to our library, or indeed any other additions to the library that may be helpful to others.