Visualise Changes in Connectivity

Here, we demonstrate how to visualise changes in connectivity over time.

Once Loop Reflect

import numpy as np
import matplotlib.pyplot as plt

from matplotlib.animation import FuncAnimation
from netgraph import Graph

# Simulate a dynamic network with
# - 5 frames / network states,
# - with 10 nodes at each time point,
# - an expected edge density of 25% at each time point
total_frames = 5
total_nodes = 10
adjacency_matrix = np.random.rand(total_frames, total_nodes, total_nodes) < 0.25

fig, ax = plt.subplots()
g = Graph(np.ones((total_nodes, total_nodes)), edge_width=1.5, arrows=True, ax=ax) # initialise with fully connected graph

def update(ii):
    for (jj, kk), artist in g.edge_artists.items():
        # turn visibility of edge artists on or off, depending on the adjacency
        if adjacency_matrix[ii, jj, kk]:
            artist.set_visible(True)
        else:
            artist.set_visible(False)
    return g.edge_artists.values()

animation = FuncAnimation(fig, update, frames=total_frames, interval=200, blit=True)