python - algorithms - Actualización de información de peso según repetición de bordes con networkx

networkx random

Question

Tengo datos de alimentación JSON con muchas relaciones de usuario, como:

"subject_id = 1, object_id = 2, object = added
subject_id = 1, object_id = 2, object = liked
subject_id = 1, object_id = 3, object = added
subject_id = 2, object_id = 1, object = added"

Ahora he usado el siguiente código para convertir JSON a networkx Graph:

def load(fname):
G = nx.DiGraph()
d = simplejson.load(open(fname))
for item in d:
for attribute, value in item.iteritems():
G.add_edge(value[''subject_id''],value[''object_id''])
return G

Y el resultado es algo así como:

[(''12820'', ''80842''), (''12820'', ''81312''), (''12820'', ''81311''), (''13317'', ''29''), (''12144'', ''81169''), (''13140'', ''16687''), (''13140'', ''79092''), (''13140'', ''78384''), (''13140'', ''48715''), (''13140'', ''54151''), (''13140'', ''13718''), (''13140'', ''4060''), (''13140'', ''9914''), (''13140'', ''32877''), (''13140'', ''9918''), (''13140'', ''4740''), (''13140'', ''47847''), (''13140'', ''29632''), (''13140'', ''72395''), (''13140'', ''48658''), (''13140'', ''78394''), (''13140'', ''4324''), (''13140'', ''4776''), (''13140'', ''78209''), (''13140'', ''51624''), (''13140'', ''66274''), (''13140'', ''38009''), (''13140'', ''80606''), (''13140'', ''13762''), (''13140'', ''28402''), (''13140'', ''13720''), (''13140'', ''9922''), (''13303'', ''81199''), (''13130'', ''70835''), (''13130'', ''7936''), (''13130'', ''30839''), (''13130'', ''11558''), (''13130'', ''32157''), (''13130'', ''2785''), (''13130'', ''9914''), (''13130'', ''73597''), (''13130'', ''9918''), (''13130'', ''49879''), (''13130'', ''62303''), (''13130'', ''64275''), (''13130'', ''48123''), (''13130'', ''8722''), (''13130'', ''43303''), (''13130'', ''39316''), (''13130'', ''78368''), (''13130'', ''28328''), (''13130'', ''57386''), (''13130'', ''30739''), (''13130'', ''9922''), (''13130'', ''71464''), (''13130'', ''50296''), (''12032'', ''65338''), (''13351'', ''81316''), (''13351'', ''16926''), (''13351'', ''80435''), (''13351'', ''79086''), (''12107'', ''16811''), (''12107'', ''70310''), (''12107'', ''10008''), (''12107'', ''25466''), (''12107'', ''36625''), (''12107'', ''81320''), (''12107'', ''48912''), (''12107'', ''62209''), (''12816'', ''79526''), (''12816'', ''79189''), (''13180'', ''39769''), (''13180'', ''81319''), (''12293'', ''70918''), (''12293'', ''59403''), (''12293'', ''76348''), (''12293'', ''12253''), (''12293'', ''65078''), (''12293'', ''61126''), (''12293'', ''12243''), (''12293'', ''12676''), (''12293'', ''11693''), (''12293'', ''78387''), (''12293'', ''54788''), (''12293'', ''26113''), (''12293'', ''50472''), (''12293'', ''50365''), (''12293'', ''66431''), (''12293'', ''29781''), (''12293'', ''50435''), (''12293'', ''48145''), (''12293'', ''79170''), (''12293'', ''76730''), (''12293'', ''13260''), (''12673'', ''29''), (''12672'', ''29''), (''13559'', ''9327''), (''12583'', ''25462''), (''12252'', ''50754''), (''12252'', ''11778''), (''12252'', ''38306''), (''12252'', ''48170''), (''12252'', ''5488''), (''12325'', ''78635''), (''12325'', ''4459''), (''12325'', ''68699''), (''12559'', ''80285''), (''12559'', ''78273''), (''12020'', ''48291''), (''12020'', ''4498''), (''12746'', ''48916''), (''13463'', ''56785''), (''13463'', ''47821''), (''13461'', ''80790''), (''13461'', ''4425''), (''12550'', ''48353'')]

Lo que quiero hacer es aumentar de peso si hay más de 1 relación entre estos usuarios. Entonces, como demostré en la relación JSON, subject_id 1 tiene 3 relaciones con subject_id 2, por lo tanto su peso debe ser 3, mientras que el usuario 3 tiene solo 1 relación con subject_id 1 y por lo tanto debe ser 1 como peso.

Actualizar:

Supongo que he resuelto mi problema con el uso de:

def load(fname):
G = nx.MultiDiGraph()
d = simplejson.load(open(fname))
for item in d:
for attribute, value in item.iteritems():
if (value[''subject_id''], value[''object_id'']) in G.edges():
data = G.get_edge_data(value[''subject_id''], value[''object_id''], key=''edge'')
G.add_edge(value[''subject_id''], value[''object_id''], key=''edge'', weight=data[''weight'']+1)
else:
G.add_edge(value[''subject_id''], value[''object_id''], key=''edge'', weight=1)
print G.edges(data=True)

Pero aún así tu ayuda sería buena para mejorar.

Answer 1

Simplemente puede usar el atributo de weight almacenar sus pesos. Puede verificar si existe una ventaja con el método has_edge . La combinación de estos te daría:

def load(fname):
G = nx.DiGraph()
d = simplejson.load(open(fname))
for item in d:
for attribute, value in item.iteritems():
subject_id, object_id = value[''subject_id''], value[''object_id'']
if G.has_edge(subject_id, object_id):
# we added this one before, just increase the weight by one
G[subject_id][object_id][''weight''] += 1
else:
# new edge. add with weight=1
G.add_edge(subject_id, object_id, weight=1)
return G