def place_high_degree_seeds(std_game_act, seed_game_act, nodes_no):
""" Places agents of type std_game_act by default. Also places a nodes_no number of highest degree seed nodes """
# currently a bit inefficient since the degrees for the whole network is being sorted
network_nodes_sorted = sorted(g.network.degree_iter(),
key=itemgetter(1),
reverse=True)
counter = 0
for node_i in network_nodes_sorted:
if counter < nodes_no:
g.network.node[node_i[0]]['agent'] = network_agent.NetworkAgent(
seed_game_act)
else:
g.network.node[node_i[0]]['agent'] = network_agent.NetworkAgent(
std_game_act)
counter += 1
# updating nodes_with_agents and empty_nodes lists
g.nodes_with_agents = list(g.network.nodes())
g.empty_nodes = []
# updating neighbors_with_agents
for agent_node in g.network.nodes():
node_neighbors = g.network.neighbors(agent_node)
g.neighbors_with_agents[agent_node] = list(node_neighbors)
def place_random_seeds(std_game_action, seed_game_action, prob):
""" Places agents of type std_game_action, with seed agents placed with probability prob of type seed_game_action"""
for node_i in g.network.nodes():
seed_prob = rnd.random()
if seed_prob <= prob:
g.network.node[node_i]['agent'] = network_agent.NetworkAgent(
seed_game_action)
else:
g.network.node[node_i]['agent'] = network_agent.NetworkAgent(
std_game_action)
# updating nodes_with_agents and empty_nodes lists
g.nodes_with_agents = list(g.network.nodes())
g.empty_nodes = []
# updating neighbors_with_agents
for agent_node in g.network.nodes():
node_neighbors = g.network.neighbors(agent_node)
g.neighbors_with_agents[agent_node] = list(node_neighbors)
def place_same_agent(game_phase_action):
""" Places the same agent at every node of the network """
for node_i in g.network.nodes():
g.network.node[node_i]['agent'] = network_agent.NetworkAgent(
game_phase_action)
# updating nodes_with_agents and empty_nodes lists
g.nodes_with_agents = list(g.network.nodes())
g.empty_nodes = []
# updating neighbors_with_agents
for agent_node in g.network.nodes():
node_neighbors = g.network.neighbors(agent_node)
g.neighbors_with_agents[agent_node] = list(node_neighbors)
def place_random_agent(game_phase_actions):
""" Places agents of random type at each node of the network """
for node_i in g.network.nodes():
game_action_type = game_phase_actions[rnd.randrange(
0, len(game_phase_actions))]
g.network.node[node_i]['agent'] = network_agent.NetworkAgent(
game_action_type)
# updating nodes_with_agents and empty_nodes lists
g.nodes_with_agents = list(g.network.nodes())
g.empty_nodes = []
# updating neighbors_with_agents
for agent_node in g.network.nodes():
node_neighbors = g.network.neighbors(agent_node)
g.neighbors_with_agents[agent_node] = list(node_neighbors)
def place_agent_on_node(agent_node, game_action):
""" Places a specific agent of type game_action, on the spot specified by agent_node """
g.network.node[agent_node]['agent'] = network_agent.NetworkAgent(
game_action)
# updating nodes_with_agents and empty_nodes lists
g.nodes_with_agents.append(agent_node)
g.empty_nodes.remove(agent_node)
# updating neighbors_with_agents
node_neighbors = g.network.neighbors(agent_node)
agent_neighbors = [
item for item in node_neighbors if item in g.nodes_with_agents
]
g.neighbors_with_agents[agent_node] = agent_neighbors
for node in agent_neighbors:
g.neighbors_with_agents[node].append(agent_node)
def place_random_agent_on_node(agent_node, game_phase_actions):
""" Places a random agent on the spot specified by agent_node """
game_action_type = game_phase_actions[rnd.randrange(
0, len(game_phase_actions))]
g.network.node[agent_node]['agent'] = network_agent.NetworkAgent(
game_action_type)
# updating nodes_with_agents and empty_nodes lists
g.nodes_with_agents.append(agent_node)
g.empty_nodes.remove(agent_node)
# updating neighbors_with_agents
node_neighbors = g.network.neighbors(agent_node)
agent_neighbors = [
item for item in node_neighbors if item in g.nodes_with_agents
]
g.neighbors_with_agents[agent_node] = agent_neighbors
for node in agent_neighbors:
g.neighbors_with_agents[node].append(agent_node)