TerroristNetworkModel improved

TerroristNetworkModel.py

@@ -186,16 +186,22 @@ class HavenModel(BaseAgent):
         self.max_vulnerability = environment.environment_params['max_vulnerability']
 
     def step(self):
-        if self.count_neighboring_agents(state_id=0) == 0:
-            self.state['id'] = 1       # Terrorism Haven
-            for neighbour in self.get_neighboring_agents():
-                if isinstance(neighbour, TerroristSpreadModel) and neighbour.vulnerability < self.max_vulnerability:
-                    neighbour.vulnerability = neighbour.vulnerability ** ( 1 - self.haven_influence )
-        else:
+        civilian_haven = False
+        if self.state['id'] == 0:
+            for neighbour_agent in self.get_neighboring_agents():
+                if isinstance(neighbour_agent, TerroristSpreadModel) and neighbour_agent.state['id'] == 0:
+                    civilian_haven = True
+
+        if civilian_haven:
             self.state['id'] = 0       # Civilian Haven
             for neighbour in self.get_neighboring_agents():
                 if isinstance(neighbour, TerroristSpreadModel) and neighbour.vulnerability > self.min_vulnerability:
                     neighbour.vulnerability = neighbour.vulnerability * ( 1 - self.haven_influence )
+        else:
+            self.state['id'] = 1       # Terrorism Haven
+            for neighbour in self.get_neighboring_agents():
+                if isinstance(neighbour, TerroristSpreadModel) and neighbour.vulnerability < self.max_vulnerability:
+                    neighbour.vulnerability = neighbour.vulnerability ** ( 1 - self.haven_influence )
 
         
 class TerroristNetworkModel(TerroristSpreadModel):
@@ -234,7 +240,7 @@ class TerroristNetworkModel(TerroristSpreadModel):
                 social_distance = 1 / self.shortest_path_length(self.global_topology, self.id, agent.id)
                 spatial_proximity = ( 1 - self.get_distance(self.global_topology, self.id, agent.id) )
                 prob_new_interaction = self.weight_social_distance * social_distance + self.weight_link_distance * spatial_proximity
-                if random.random() < prob_new_interaction:
+                if agent.state['id'] == 0 and random.random() < prob_new_interaction:
                     self.add_edge(self.global_topology, self, agent)
                     break
 

TerroristNetworkModel.yml

@@ -1,13 +1,13 @@
 name: TerroristNetworkModel_sim
 load_module: TerroristNetworkModel
-max_time: 500
+max_time: 200
 num_trials: 1
 network_params:
   generator: random_geometric_graph
   radius: 0.2
   # generator: geographical_threshold_graph
   # theta: 20
-  n: 150
+  n: 100
 network_agents:
   - agent_type: TerroristNetworkModel
     weight: 0.8
@@ -30,7 +30,7 @@ environment_params:
   # TerroristSpreadModel
   information_spread_intensity: 0.7
   terrorist_additional_influence: 0.035
-  max_vulnerability: 0.6
+  max_vulnerability: 0.7
   prob_interaction: 0.5
 
   # TrainingAreaModel and HavenModel

templates/js/socket.js

@@ -271,7 +271,7 @@ var set_timeline = function(graph) {
                                      .attr('width', d3.select('svg #root > image').node().getBBox().width)
                                      .attr('height', d3.select('svg #root > image').node().getBBox().height);
             }
-        }, 500);
+        }, 1000);
     });
 
     // 'Speed' slider