def createGml(gid, workfolder_real, workfolder_real_gml, addcommentlist=False):
wb2g = weibo2graph()
weibofilep = workfolder_real + gt.findfiles(
workfolder_real, '*' + str(gid) + '*' + '.repost')[0]
gmlfilep = workfolder_real_gml + str(gid) + '.gml'
g = wb2g.start(weibofilep,
gmlfilep,
timep=None,
addcommentlist=addcommentlist)
return g
def get_graph(self,
weibofilep,
gmlfilep=None,
timep=None,
addcommentlist=True):
from weibo_tools import weibo2graph
wb2g = weibo2graph()
g = wb2g.start(weibofilep,
gmlfilep,
timep=timep,
addcommentlist=addcommentlist)
return g
def getdata_one(weibofp):
from weibo_tools import weibo2graph
from weibo_tools import wbg
wb2g = weibo2graph()
wbfilep_fw = r'G:\HFS\WeiboData\HFSWeibo\test\toy.repost'
wbfilep_cm = None
txtlist = wb2g.getxtlist_old(wbfilep, wbfilep_comt)
txtlist = wb2g.transoldweibo2new(txtlist)
searchmid = os.path.basename(wbfilep).split('.')[0]
firstline = wb2g.findmetacoc(searchmid=searchmid)
if firstline == -1:
pass
else:
txtlist.insert(0, firstline)
res = []
for wb in txtlist:
wb4g = wbg(line, oldweibo)
res.append(wb4g.reposts_count)
#encoding=utf8
'the main frame of mobilization model'
'basic model-training-model-simulating real case-comparing SR'
import sys
sys.path.append('../..')
from tools import commontools as gtf
from tools import graphtools
from weibo_tools import weibo2graph
import random
import os
import numpy as np
gt = gtf()
weibo2g = weibo2graph()
grt = graphtools()
print 'hello'
from cmo_regression import regression_cmo
import igraph as ig
def selecTime(timelist, periodcnt):
timelistPeriodNow = []
lenyt = len(timelist) / float(periodcnt)
#print len(timelist)
for j in range(1, periodcnt + 1):
i = int(round(j * lenyt))
i = i if i > 1 else 1
i = i if i < len(timelist) else len(timelist) - 1
if len(timelist) < 1:
timelistPeriodNow.append('0')
else:
timelistPeriodNow.append(timelist[i])