phase2_boundary_score_calculation.py

from igraph import *
import pandas as pd
g = load("boundary_labeled_graphs/phase2_boundary_edges.graphml")
vs = g.vs.select(polar_eq = "None")
sum_node_values = 0
sum_boundary_nodes = 0
for polar in vs:
    boundary_vs = g.vs.select(status_eq = "boundary" + polar["name"]) #get polar's boundary nodes
    total_vs = g.vs.select(polar_eq =  polar["name"])
    internal_vs = g.vs.select(status_eq = "internal" + polar["name"])
    # print(polar["name"])
    # print(len(boundary_vs) / len(total_vs))
    sum_boundary_nodes+=len(boundary_vs)
    node_value = 0
    for boundary_node in boundary_vs: #for each boundary node in this polar, calculate di and db
        incident_edges = g.incident(boundary_node)
        boundarySum = 0
        internalSum = 0
        for edge in incident_edges:
            full_edge = g.es.select(edge)[0]
            if(full_edge["status"][0:9] == "Eboundary"):
                boundarySum +=1
            else:
                internalSum +=1
        # print("go")
        # print(boundarySum)
        # print(internalSum)
        # print("stop")
        node_value += (internalSum / (internalSum + boundarySum)) - 0.5
        # print(node_value)
    sum_node_values += node_value
print(sum_node_values)
print(sum_boundary_nodes)
print(sum_node_values / sum_boundary_nodes)
print(sum_boundary_nodes / len(g.vs))