complex_systems Package¶

`complex_systems` Package¶

`dygraph` Module¶

class complex_systems.dygraph.DyGraph(time_stop=None, time_step=1.0, timeline=None)[source]¶

DynamicGraph store the time evolution of a graph by saving the snapshot of a graph at a given sampling rate

Example :

>>> import networkx as nx
>>> G = DyGraph()
>>> G.add_graph(nx.Graph(), 10.0)

add_graph(G, slice_time)[source]¶: Add a new slice or update a slice

avg_degree()[source]¶

diffusion(slice_time, synergy, states=None, time_stamps=None, nb_steps=1, infected_node=1, cooperator_ratio=0.0, strategies=None, payoffs=None)[source]¶

generate_mobility_levy_walk(alpha, beta, size_max, f_min, f_max, s_min, s_max, b_c, radius, velocity=1.0, nb_node=1)[source]¶

Generate a Levy walk for each node where teh sampling interval are defined as follow :

time_interval = [time_stop:time_step:time_stop]
nb_slices = (time_stop-time_start/time_step)

Parameters :

alpha : float

Levy exponent for flight length distribution, 0 < alpha <= 2
beta : float

Levy exponent for pause time distribution, 0 < beta <= 2
size_max : int

size of simulation area
velocity : float

speed in m/s
f_min : int

min flight length
f_max : int

max flight length
s_min : int

min pause time (second)
s_max : int

max pause time (second)
b_c : int
boundary condition:
wrap-around if b_c=1

reflection boundary if b_c=2
nb_node : int (default 1)

number of node in the model

generate_weights(inner_radius, outer_radius, alpha)[source]¶: Generate weigth

get_graph(time_step=0.0)[source]¶: Return the graph at time_step=time

get_nodes_states()[source]¶

get_slice(time_step=0.0)[source]¶: Return the graph slice at time_step=time

get_slice_time()[source]¶: Return the slice time list

next()[source]¶

Iterate through the graph of all the slice in the structure

Example :

>>> G = DyGraph()
>>> G.add_graph(nx.Graph(), 10.0)
>>> G.add_graph(nx.Graph(), 10.0)
>>> for g in G: 
>>>     print g.graph('slice_time')

set_nodes_states(nodes_states)[source]¶

complex_systems Package¶