def degree_centrality_mine():
print("********************************")
print("******degree centrality*********")
print("********************************")
driver = d.connect_neo4j()
with driver.session() as session:
result = session.run("MATCH (s:Structure) return s;")
# Get all the networks
structs = []
values = result.values()
for data in values:
structs.append(data[0]['name'])
structs = list(set(structs))
# print(structs)
degrees = []
num_relations = session.run(
"MATCH ()-[r]-() return count(r)").values()[0][0]
for s in structs:
r = session.run(
"MATCH (s:Structure {name: $s})-[r]-() return count(r)", s=s)
vals = r.values()
deg = vals[0][0]
# print('{}: {}, {}'.format(s, deg, num_relations)) # deg/num_relations))
degrees.append([s, deg / 2])
driver.close()
degrees.sort(key=lambda x: x[1])
for dd in degrees:
print(dd[0], ": ", dd[1])
print('\n')
def betweenness_centrality():
print("********************************")
print("****Betweenness Centrality******")
print("********************************")
qry = "CALL algo.betweenness.sampled.stream('Structure', '') "
qry += "yield nodeId, centrality "
qry += "return algo.getNodeById(nodeId).name as structure, centrality "
qry += "order by centrality desc"
driver = d.connect_neo4j()
vals = []
with driver.session() as session:
res = session.run(qry)
vals = res.values()
for v in vals:
print("{}: {:0.5f}".format(v[0], v[1]))
driver.close()
print('\n')
def closeness_centrality():
print("********************************")
print("**********Closeness Centrality**")
print("********************************")
qry = "CALL algo.closeness.harmonic.stream('Structure', '')"
qry += "yield nodeId, centrality "
qry += "return algo.getNodeById(nodeId).name as structure, centrality "
qry += "order by centrality desc"
driver = d.connect_neo4j()
vals = []
with driver.session() as session:
res = session.run(qry)
vals = res.values()
vals.reverse() # Easier to see highest if at bottom in terminal
for v in vals:
print("{}: {:0.5f}".format(v[0], v[1]))
driver.close()
print('\n')
def pagerank():
print("********************************")
print("********PageRank****************")
print("********************************")
qry = "CALL algo.pageRank.stream('Structure', '', {iterations:20, dampingFactor:0.70}) "
qry += "YIELD nodeId, score "
qry += "RETURN algo.getNodeById(nodeId).name AS page, score "
qry += "ORDER BY score DESC"
driver = d.connect_neo4j()
vals = []
with driver.session() as session:
res = session.run(qry)
vals = res.values()
vals.sort(key=lambda x: x[1])
for v in vals:
print("{}: {:0.5f}".format(v[0], v[1]))
driver.close()
print('\n')