Functions for assessing the replication/preservation of a network 
  module's topology across datasets through permutation testing; Ritchie et al. 
  (2015) <doi: 10.1016/j.cels.2016.06.012>.

Many tools for calculating network, node, or tie
   marks, measures, motifs and memberships of many different types of networks.
   Marks identify structural positions, measures quantify network properties,
   memberships classify nodes into groups, and motifs tabulate substructure participation.
   All functions operate with all classes of network data covered in 'manynet',
   and on directed, undirected, multiplex, multimodal, signed, and other networks.

Statistical entropy analysis of network data as introduced by Frank and Shafie (2016) <doi:10.1177/0759106315615511>, and a in textbook which is in progress.

Calculates network measures commonly used in Network Medicine. Measures such as the Largest Connected Component, the Relative Largest Connected Component, Proximity and Separation are calculated along with their statistical significance. Significance can be computed both using a degree-preserving randomization and non-degree preserving.

Predicting the structure of a graph including new nodes and edges using
    a time series of graphs. Flux balance analysis, a linear and integer programming 
    technique used in biochemistry is used with time series prediction methods to 
    predict the graph structure at a future time point 
    Kandanaarachchi (2025) <doi:10.48550/arXiv.2507.05806>.

Segregation is a network-level property such that edges between 
  predefined groups of vertices are relatively less likely. Network homophily 
  is a individual-level tendency to form relations with people who are similar 
  on some attribute (e.g. gender, music taste, social status, etc.). In general
  homophily leads to segregation, but segregation might arise without 
  homophily. This package implements descriptive indices measuring 
  homophily/segregation. It is a computational companion 
  to Bojanowski & Corten (2014) <doi:10.1016/j.socnet.2014.04.001>.