Generate a Sequence of Shuffled Networks and Track Metric Evolution

This function generates a sequence of shuffled networks from an original graph, applying incremental shuffling steps while tracking modularity, SVD rank and entropy .

Usage

generate_shuffled_seq(
  original_graph,
  max_delta = 10,
  delta = 10,
  directed = TRUE,
  weighted = TRUE,
  shuffle_func = shuffle_network_ws,
  modularity_func = cluster_infomap
)

Arguments

original_graph

An igraph object representing the original network.

max_delta

Integer. Number of total shuffling steps to perform.

delta

Integer. Number of swaps per shuffling step.

directed

Logical. Whether the network is directed (default: TRUE).

weighted

Logical. Whether the network is weighted (default: TRUE).

shuffle_func

Function. A network shuffling function (default: shuffle_network_ws).

modularity_func

Function. A modularity calculation function (default: cluster_infomap).

Value

A list with:

Networks

A list of igraph objects representing the shuffled networks at each step.

Metrics

A tibble containing the step number, SVD entropy, SVD Rank, and modularity score.