complex-network-tools 0.1.0

A Python package for generating, learning, and analysis of complex networks.

ComplexNetwork

complex-network-tools is a Python package for generating, learning, and analysis of complex networks.

Examples

Synthetic network generating

from complex-network-tools.generator import erdos_renyi_graph

# generate a Erdos Renyi(ER) random graph
G = erdos_renyi_graph(num_nodes=100, num_edges=400, is_directed=False, is_weighted=False) 

# generate a Barabasi Albert(BA) scale-free graph
G = barabasi_albert_graph(num_nodes=100, num_edges=400, is_directed=False, is_weighted=False) 

Network attack

from complex-network-tools.robustness.network_attack import network_attack

# get attack sequence of nodes
G = erdos_renyi_graph(num_nodes=100, num_edges=400, is_directed=False, is_weighted=False)
# node-removal based network attacks, use the targeted-degree based node-removal strategy
attack_sequence = network_attack(graph=G, attack='node', strategy='degree')

Spectral measure

from complex-network-tools.spectral_measure.robustness_spectral_measure import spectral_gap

# calculate spectral gap for a graph
G = erdos_renyi_graph(num_nodes=100, num_edges=400, is_directed=False, is_weighted=False)
spectral_gap(G)

Install

To be added.