Merge remote-tracking branch 'origin/stars'

# Conflicts:
#	network_attack_propagation.py

network_attack_propagation.py

@@ -1,6 +1,8 @@
 import random
-import networkx as nx
+from statistics import mean
+
 import matplotlib.pyplot as plt
+import networkx as nx
 from matplotlib import animation
 
 
@@ -126,6 +128,30 @@ def bus_network(n=30, infected_idx=0) -> Graph:
     return network
 
 
+def rank_avg(edges, digits=2):
+    ranks = {}
+    for e in edges:
+        ranks[e.node_a] = ranks.get(e.node_a, 0) + 1
+        ranks[e.node_b] = ranks.get(e.node_b, 0) + 1
+    return round(mean(ranks.values()), digits)
+
+
+def star_network(cluster_count=5, starsize=6) -> tuple[Graph, float]:
+    node_count = cluster_count + cluster_count * starsize + 1
+    nodes = [Node() for _ in range(node_count)]
+
+    edges = []
+    for x in range(cluster_count):
+        center_node = x * starsize + x
+        edges += [Edge(nodes[center_node], nodes[i], 1.0) for i in range(center_node + 1, center_node + starsize + 1)]
+        edges.append(Edge(nodes[-1], nodes[center_node], 1.0))
+
+    network = Graph()
+    network.add_edges(edges)
+
+    return network, rank_avg(edges)
+
+
 def ring_network(n=30) -> Graph:
     network = Graph()
     nodes = [Node() for _ in range(n)]
@@ -161,6 +187,9 @@ def main():
     ring = ring_network()
     do_graph_animation('ring.gif', ring, 20, nx.circular_layout)
 
+    star, star_avg_rank = star_network()
+    do_graph_animation('star.gif', star, 5, nx.spring_layout)
+
 
 if __name__ == "__main__":
     main()