def main(args):
if len(args) < 1:
print("Usage: ./program <db> <date1> <date2>")
sys.exit(1)
db = args[0]
date1 = args[1]
date2 = args[2]
reader = DBReader(db)
uid = reader.uid()
print("#uid cache. Length=%d" % len(uid))
collab_base = reader.collaborators(None, date1)
print("#collab_base. Length=%d" % len(collab_base))
Gcollab_base = graphutils.get_db_graph(graphutils.Graph.COLLAB, uid,
collab_base)
print("#Gcollab_base. Number of nodes=%d" % Gcollab_base.GetNodes())
G = Gcollab_base.G
hist = get_degree_histogram(G)
n = G.GetNodes()
print("MLE estimate of alpha: %f" % mle(hist))
mxWccSize = snap.GetMxWccSz(G)
print("Fraction of nodes in the largest weakly connected component: %f" %
mxWccSize)
clustCoff = snap.GetClustCf(G)
print("Clustering coefficient: %f" % clustCoff)
avgDeg = sum([item[0] * item[1] for item in hist]) / float(n)
print("Average Degree: %f" % avgDeg)
wccHist = get_wcc_histogram(G)
print("WCC Histogram : ")
print(wccHist)
print(mle(wccHist))
def main(args):
if len(args) < 1:
print("Usage: ./program <db> <date1> <date2>")
sys.exit(1)
db = args[0]
date1 = args[1]
date2 = args[2]
reader = DBReader(db)
uid = reader.uid()
print("#uid cache. Length=%d" % len(uid))
collab_base = reader.collaborators(None, date1)
print("#collab_base. Length=%d" % len(collab_base))
Gcollab_base = graphutils.get_db_graph(graphutils.Graph.COLLAB, uid, collab_base)
print("#Gcollab_base. Number of nodes=%d" % Gcollab_base.GetNodes())
G = Gcollab_base.G
hist = get_degree_histogram(G)
n = G.GetNodes()
print("MLE estimate of alpha: %f" % mle(hist))
mxWccSize = snap.GetMxWccSz(G)
print("Fraction of nodes in the largest weakly connected component: %f" % mxWccSize)
clustCoff = snap.GetClustCf(G)
print("Clustering coefficient: %f" % clustCoff)
avgDeg = sum([item[0] * item[1] for item in hist]) / float(n)
print("Average Degree: %f" % avgDeg)
wccHist = get_wcc_histogram(G)
print("WCC Histogram : ")
print(wccHist)
print(mle(wccHist))
def main(args):
db = args[0]
date1 = args[1]
userid = args[2]
k=2
beta= 0
reader = DBReader(db)
print("Getting uid")
uid = reader.uid()
src = uid[userid]
print("Userid, rowid: %s, %d"%(userid, src))
print("Getting all the base graphs")
'''
Gcollab_base = graphutils.get_collab_graph(db, uid)
assert(Gcollab_base.IsNode(src))
feature_graphs = graphutils.get_feat_graphs(db, uid, None, date1)
base_graphs = graphutils.get_base_dict(Gcollab_base, feature_graphs)
# from base graph take a random source node in every iteration
baseG = base_graphs[graphutils.Graph.COLLAB]
featG = graphutils.split_feat_graphs(base_graphs)
'''
followers = reader.followers()
baseG = graphutils.get_db_graph(graphutils.Graph.FOLLOW, uid, followers)
Gp = snapext.EUNGraph()
featG = [Gp, Gp, Gp]
subBaseG= graphutils.getSubGraph(baseG, src, 5)
topIDs = runrw.runrw(subBaseG, featG, src, beta)[:20]
print reader.get_users(topIDs)
def main(args):
db = args[0]
date1 = args[1]
userid = args[2]
k = 2
beta = 0
reader = DBReader(db)
print("Getting uid")
uid = reader.uid()
src = uid[userid]
print("Userid, rowid: %s, %d" % (userid, src))
print("Getting all the base graphs")
'''
Gcollab_base = graphutils.get_collab_graph(db, uid)
assert(Gcollab_base.IsNode(src))
feature_graphs = graphutils.get_feat_graphs(db, uid, None, date1)
base_graphs = graphutils.get_base_dict(Gcollab_base, feature_graphs)
# from base graph take a random source node in every iteration
baseG = base_graphs[graphutils.Graph.COLLAB]
featG = graphutils.split_feat_graphs(base_graphs)
'''
followers = reader.followers()
baseG = graphutils.get_db_graph(graphutils.Graph.FOLLOW, uid, followers)
Gp = snapext.EUNGraph()
featG = [Gp, Gp, Gp]
subBaseG = graphutils.getSubGraph(baseG, src, 5)
topIDs = runrw.runrw(subBaseG, featG, src, beta)[:20]
print reader.get_users(topIDs)
print("Getting all the base graphs")
'''
Gcollab_base = graphutils.get_collab_graph(db, uid)
assert(Gcollab_base.IsNode(src))
feature_graphs = graphutils.get_feat_graphs(db, uid, None, date1)
base_graphs = graphutils.get_base_dict(Gcollab_base, feature_graphs)
# from base graph take a random source node in every iteration
baseG = base_graphs[graphutils.Graph.COLLAB]
featG = graphutils.split_feat_graphs(base_graphs)
'''
followers = reader.followers()
baseG = graphutils.get_db_graph(graphutils.Graph.FOLLOW, uid, followers)
#Gp = snapext.EUNGraph()
#featG = [Gp, Gp, Gp]
featG = graphutils.split_feat_graphs(
graphutils.get_feat_graphs(db, uid, None, date1))
class RequestHandler(SimpleHTTPServer.SimpleHTTPRequestHandler):
def end_headers(self):
self.send_head()
SimpleHTTPServer.SimpleHTTPRequestHandler.end_headers(self)
def send_head(self):
self.send_header("Content-type", "application/json")
print("Getting all the base graphs")
'''
Gcollab_base = graphutils.get_collab_graph(db, uid)
assert(Gcollab_base.IsNode(src))
feature_graphs = graphutils.get_feat_graphs(db, uid, None, date1)
base_graphs = graphutils.get_base_dict(Gcollab_base, feature_graphs)
# from base graph take a random source node in every iteration
baseG = base_graphs[graphutils.Graph.COLLAB]
featG = graphutils.split_feat_graphs(base_graphs)
'''
followers = reader.followers()
baseG = graphutils.get_db_graph(graphutils.Graph.FOLLOW, uid, followers)
#Gp = snapext.EUNGraph()
#featG = [Gp, Gp, Gp]
featG = graphutils.split_feat_graphs(graphutils.get_feat_graphs(db, uid, None, date1))
class RequestHandler(SimpleHTTPServer.SimpleHTTPRequestHandler):
def end_headers(self):
self.send_head()
SimpleHTTPServer.SimpleHTTPRequestHandler.end_headers(self)
def send_head(self):
self.send_header("Content-type", "application/json")
self.send_header("Access-Control-Allow-Origin", "*")
