Network Analysis

Core Operations

The multi_layer_network object provides methods for network analysis and manipulation.

Basic Iteration

from py3plex.core import multinet

network = multinet.multi_layer_network().load_network(
    "../datasets/multiedgelist.txt", input_type="multiedgelist", directed=False)

# Iterate edges
for edge in network.get_edges(data=True):
    print(edge)

# Iterate nodes
for node in network.get_nodes(data=True):
    print(node)

Subnetworks

# Extract by layer
layer_subnet = network.subnetwork(['1'], subset_by="layers")

# Extract by node names
node_subnet = network.subnetwork(['1'], subset_by="node_names")

# Extract by node-layer pairs
specific_subnet = network.subnetwork(
    [('1','1'), ('2','1')], subset_by="node_layer_names")

NetworkX Integration

py3plex networks are compatible with NetworkX:

# Use any NetworkX function
centralities = network.monoplex_nx_wrapper("degree_centrality")
print(centralities)

For More Examples

See detailed examples:

example_multilayer_functionality.py - Core operations
example_networkx_wrapper.py - NetworkX integration
example_spreading.py - Network traversal
example_manipulation.py - Network manipulation

Repository: https://github.com/SkBlaz/Py3Plex/tree/master/examples