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/
nxGdfFilter.py
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nxGdfFilter.py
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import networkx as nx
import newtx as nwx
import csv,sys,newt
import datetime
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
run=['filter']
#['filter','reciprocal']
api=newt.getTwitterAPI()
def getNodeAttr(cell):
cell=cell.strip()
cell=cell.split()
return cell[0].strip(),cell[1].strip()
def labelGraph(LG,idlist):
idlabels=newt.twNamesFromIds(api,idlist)
for id in idlabels:
if str(id) in LG.node:
LG.node[str(id)]['label']=idlabels[id]
return LG
#G=nx.Graph()
addUserFriendships=1
try:
mindegree=sys.argv[1]
except:
mindegree=10
try:
user=sys.arg[2]
except:
addUserFriendships=0
user=''
try:
typ=sys.argv[3]
except:
typ=0
path='reports'
#agent='fq50_combinedfollowers_0ormore_sample50'
#agent="edgehill"
#agent='hashtag-fote11/followers_2ormore_sample50'
agent='fq50_combinedfriends_4ormore_sample2000'
agent='hashtag-lseneted/followers_3ormore_sample500'
agent='foreignoffice_lists/foreign-office-on-twitter'
agent='theul'
agent='hashtag-gdslaunch/followers_3ormore_sample195'
typ='friends'
tt='extrafriends'
report=tt+'Net_2011-12-08-11-54-11.gdf'
fn='/'.join([path,agent,typ,report])
print 'Loading file...',fn
DG=nwx.directedNetworkFromGDF(fn)
'''
f=open('/'.join([path,agent,report]),'rb')
reader = csv.reader(f)
print "Loading graph..."
phase='nodes'
header=reader.next()
print "Loading nodes..."
for row in reader:
if row[0].startswith('edgedef>'):
phase='edges'
print "Moving on to edges"
continue
elif phase=='edges':
fromNode=row[0].strip()
toNode=row[1].strip()
#print ':'.join(['Adding edge',fromNode,toNode])
DG.add_edge(fromNode,toNode)
else:
id=row[0].strip()
val=row[1].strip()
#print ':'.join(['Adding node',id,val])
if id!='' and val!='':
DG.add_node(id,label=val)
'''
#print DG.degree()
print DG.order(),DG.size()
#Generate subgraph with nodes that have a greater than N degree:
def filterNet(DG,mindegree):
if addUserFriendships==1:
DG=addFocus(DG,user,typ)
mindegree=int(mindegree)
filter=[]
filter= [n for n in DG if DG.degree(n)>=mindegree]
H=DG.subgraph(filter)
print "Filter set:",filter
print H.order(),H.size()
LH=labelGraph(H,filter)
now = datetime.datetime.now()
ts = now.strftime("_%Y-%m-%d-%H-%M-%S")
nx.write_graphml(H, '/'.join([path,agent,typ,tt+"degree"+str(mindegree)+ts+".graphml"]))
nx.write_edgelist(H, '/'.join([path,agent,typ,tt+"degree"+str(mindegree)+ts+".txt"]),data=False)
#delimiter=''
#indegree=sorted(nx.indegree(DG).values(),reverse=True)
indegree=H.in_degree()
outdegree=H.out_degree()
inout = [indegree, outdegree]
inoutpair = {}
for k in indegree.iterkeys():
inoutpair[k] = tuple(inoutpair[k] for inoutpair in inout)
fig = plt.figure()
ax = fig.add_subplot(111)
#ax.plot(indegree,outdegree, 'o')
#ax.set_title('Indegree vs outdegree')
degree_sequence=sorted(indegree.values(),reverse=True)
plt.loglog(degree_sequence)
plt.savefig( '/'.join([path,agent,typ,tt+"degree"+str(mindegree)+"outdegree_histogram.png"]))
#plt.show()
def addFocus(DG,user,typ='all'):
userData=api.get_user(user)
userID=userData.id
if userID not in DG.nodes():
if typ=='all' or typ=='fr':
print 'adding in user friendships...'
userFriends=api.friends_ids(user)
print user,'as',userID
frNet=nwx.createTwitterFnet(api,user,typ='friends')
DG=nwx.mergeNets(DG,frNet)
if typ=='all' or typ=='fo':
print 'adding in user follwerships...'
userFollowers=api.followers_ids(user)
print user,'as',userID
foNet=nwx.createTwitterFnet(api,user,typ='followers')
DG=nwx.mergeNets(DG,foNet)
return DG
def reciprocalNet(DG):
if user !='' and addUserFriendships==1 :
DG=addFocus(DG,user)
print 'Looking for reciprocal edges...'
reciprocalG=DG.to_undirected(reciprocal=True)
print reciprocalG.order(),reciprocalG.size()
filter= [n for n in reciprocalG if reciprocalG.degree(n)>=1]
print 'Filtering out unconnected nodes...'
H=reciprocalG.subgraph(filter)
print "Filter set:",filter
print H.order(),H.size()
LH=nwx.labelGraph(api,H,filter)
nx.write_graphml(H, "junk/testReciprocal.graphml")
if 'filter' in run: filterNet(DG,mindegree)
if 'reciprocal' in run:
reciprocalNet(DG)