Network of links between actors¶

This tutorial will show you how to work with social-ecological network with ABSESpy.

In [1]:

from abses import MainModel

model = MainModel()

agents = model.agents.new(num=10)
agents

from abses import MainModel model = MainModel() agents = model.agents.new(num=10) agents

Out[1]:

<ActorsList: (10)Actor>

In [2]:

agents.random.link(link="test", p=0.6, mutual=False)
agents.plot.graph("test");

agents.random.link(link="test", p=0.6, mutual=False) agents.plot.graph("test");

Import Graph to create agents¶

In [3]:

import numpy as np
import networkx as nx

rng = np.random.default_rng()
a = rng.integers(low=0, high=2, size=(10, 10))
DG = nx.from_numpy_array(a, create_using=nx.DiGraph)

nx.draw(DG, arrows=True)

import numpy as np import networkx as nx rng = np.random.default_rng() a = rng.integers(low=0, high=2, size=(10, 10)) DG = nx.from_numpy_array(a, create_using=nx.DiGraph) nx.draw(DG, arrows=True)

In [4]:

nx.to_dict_of_lists(DG)

nx.to_dict_of_lists(DG)

Out[4]:

{0: [5, 7],
 1: [0, 1, 9],
 2: [0, 2, 3, 7, 8, 9],
 3: [0, 2, 6, 8],
 4: [0, 1, 3, 7, 8],
 5: [4, 5, 9],
 6: [1, 5, 7, 8, 9],
 7: [0, 1, 2, 5, 6, 8],
 8: [0, 1, 4, 5, 7],
 9: [2, 3, 6, 8]}

In [5]:

from abses import Actor


class NodeActor(Actor):
    marker = "^"


nodes = model.agents.new_from_graph(DG, "imported", actor_cls=NodeActor)
nodes

from abses import Actor class NodeActor(Actor): marker = "^" nodes = model.agents.new_from_graph(DG, "imported", actor_cls=NodeActor) nodes

Out[5]:

<ActorsList: (10)NodeActor>

In [7]:

nodes.plot.graph("imported")

nodes.plot.graph("imported")

Out[7]:

<Axes: >