def start_realcase(experimenTimes, mode, worksfolder_repost, workfolder_sim):
timenow = int(time.strftime("%H", time.localtime(time.time())))
worksfolder = workfolder_sim
worksfolder_fig = gt.createFolder(worksfolder + 'figs\\')
worksfolder_mat = gt.createFolder(worksfolder + 'graphs\\')
from NetypesfromGraph import NetypesfromGraph as nety
netky = nety()
result = []
startimer = time.clock()
# try:
for casefile in os.listdir(worksfolder_repost):
if os.path.splitext(casefile)[-1] != '.repost':
return
if os.path.exists(worksfolder_mat + '_' + str(mode) + '_' + casefile +
'_1.adj'):
print '_' + str(mode) + '_' + casefile + '.adj'
continue
print worksfolder_repost + casefile
[ma_fans, cbm_frs, act_micorcnt,
inv_mention] = input_init_real(worksfolder_repost + casefile)[0:4]
input = [ma_fans, cbm_frs, inv_mention, act_micorcnt]
print inv_mention
# inputm = sp.asmatrix(input, long)
personcnt = len(ma_fans)
for i in range(experimenTimes):
print '===============================================', i
mat = getoutMatrix(personcnt, ma_fans, cbm_frs, inv_mention,
act_micorcnt, worksfolder_fig, mode)
g = ig.Graph.Adjacency(mat.tolist())
graphfilepath = str(worksfolder_mat + '_' + str(mode) + '_' +
casefile + '_' + str(i) + '.adj')
# print graphfilepath
g.write_adjacency(graphfilepath)
# gt.drawgraph(g,giantornot=False,figpath=worksfolder+'figs\\'+str(modefans)+'_'+str(modemen)+'_'+str(i)+'.png',show=False)#sw
# resultone = netky.start(g)
# result.append(resultone)
#
# xyz = zip(*result)
# gt.saveList(xyz,worksfolder_mat+'_'+str(mode)+'_'+casefile+'_'+str(experimenTimes)+'.netattri',writype='w')
# except:
# pass
# datapath2save = worksfolder_fig+'shapedis_'+str(personcnt)+'_'+str(experimenTimes)+'_'+str(modefans)+'_'+str(modemen)
# classTypes_km(xyz,datapath2save,k=6,runtimes=10)
endtimer = time.clock()
duration = endtimer - startimer
timestrline = str(time.asctime()) + ' in ' + str(
duration /
60) + 'mins of modefans ' #+str(modefans)+' modemen '+str(modemen)
print timestrline
def start_sim(self,personcnt,experimenTimes,mode,worksfolder):
timenow = int(time.strftime("%H",time.localtime(time.time())))
# worksfolder = "G:\\HFS\\WeiboData\\CMO\\test\\"
worksfolder_fig = gt.createFolder(worksfolder+'figs\\')
worksfolder_mat = gt.createFolder(worksfolder+'graphs\\')
from NetypesfromGraph import NetypesfromGraph as nety
netky = nety()
for modefans in [1,2,4]:#3,,5
for modefr in [1,2,4]:#3,,5
for modeal in [1,2,4]:#3,,5
for modemen in [1,2,4]:#3,,5
result = []
startimer = time.clock()
for i in range(experimenTimes):
print '===============================================',i,modefans,modemen
[ma_fans,cbm_frs,inv_mention,act_micorcnt] = self.input_init(personcnt,fans_p=(modefans,1,10000),frs_p=(modefr,1,1000),micor_p=(modeal,0,1),men_p=(modemen,0,50))
input = [ma_fans,cbm_frs,inv_mention,act_micorcnt]
# print act_micorcnt
# inputm = sp.asmatrix(input, long)
mat = self.getoutMatrix(personcnt,ma_fans,cbm_frs,inv_mention,act_micorcnt,worksfolder_fig,mode)
g = ig.Graph.Adjacency(mat.tolist())
# print g.vcount(),g.ecount()
graphfilepath = str(worksfolder_mat+str(personcnt)+'_'+str(experimenTimes)+'_'+str(i)+'_'+str(modefans)+'_'+str(modemen)+'.adj')
# print graphfilepath
g.write_adjacency(graphfilepath)
# if g.vcount()>50:
# gt.drawgraph(g,giantornot=False,figpath=worksfolder+'figs\\'+str(modefans)+'_'+str(modemen)+'_'+str(i)+'.png',show=True)#sw
# gt.drawgraph(g,giantornot=True,figpath=worksfolder+'figs\\'+str(modefans)+'_'+str(modemen)+'_'+str(i)+'giant.png',show=True)#sw
resultone = netky.start(g)
result.append(resultone)
xyz = zip(*result)
gt.saveList(xyz,worksfolder_mat+str(personcnt)+'_'+str(experimenTimes)+'_'+str(modefans)+'_'+str(modefr)+'_'+str(modeal)+'_'+str(modemen)+'.netattri',writype='w')
# datapath2save = worksfolder_fig+'shapedis_'+str(personcnt)+'_'+str(experimenTimes)+'_'+str(modefans)+'_'+str(modemen)
# classTypes_km(xyz,datapath2save,k=6,runtimes=10)
endtimer = time.clock()
duration = endtimer-startimer
timestrline = str(time.asctime())+' in '+str(duration/60)+'mins of modefans '+str(modefans)+' modemen '+str(modemen)
print timestrline
def getLabels(att, workfolder_fig, k=6):
x = zip(*att)
xyz = x #zip(*x)
xyzz = gt.normlistlist(listlista=xyz, metacolcount=0,
sumormax='sum') #xyz[1:]#
xy = zip(*xyzz) #[1:]
z = zip(*xyz[:1])
from NetypesfromGraph import NetypesfromGraph as nety
netky = nety()
labels, res = [], []
# print len(xy),xy
labels, kmcenter, kmfit = netky.kmeans(xy, k=k, runtimes=1)
# labels.sort()
# print len(labels)#kmcenter,labels
centername = workfolder_fig + 'shapedis_kmeans_center.center'
gt.savefigdata(centername, kmcenter, labels, kmfit)
# gt.saveList(centername,kmcenter)
return labels
def compute_sim(workfolder_sim, fplist, experimentimes, mod):
from NetypesfromGraph import NetypesfromGraph as nety
netky = nety()
#for mod in range(2,5):
degs, indegs, outdegs, ccs, apls, diams = [], [], [], [], [], []
for fp in fplist:
for i in range(experimentimes):
simf = "G:\\HFS\\WeiboData\\HFSWeibo_Sim\\test\\Mode" + str(
mod) + '\\graphs\\' + '_' + str(
mod) + '_' + fp + '.repost_' + str(i) + '.adj'
# simf1 = workfolder_sim+'_'+str(mod)+'_'+fp+'.repost_1.adj'
if os.path.exists(simf):
g_sim = ig.Graph.Read_Adjacency(simf)
res_sim = netky.start(g_sim)
sim_resultset.append(res_sim)
degs.extend(g_sim.degree())
indegs.extend(g_sim.indegree())
outdegs.extend(g_sim.outdegree())
ccs.append(g_sim.transitivity_undirected(mode='0'))
apls.append(g_sim.average_path_length())
diams.append(g_sim.diameter())
return degs, indegs, outdegs, ccs, apls, diams
# print distLabel,res,oneres
return res
fig = plt.figure()
plt.plot(range(10))
fig.dpi = 80
fig.savefig("G:\\HFS\\WeiboData\\CMO\\temp.png", dpi=fig.dpi)
if __name__ == "__main__":
personcnt = 20
experimenTimes = 12
timenow = int(time.strftime("%H", time.localtime(time.time())))
worksfolder = "G:\\HFS\\WeiboData\\CMO\\test\\"
worksfolder_fig = worksfolder + 'figs\\'
worksfolder_mat = worksfolder + 'graphs\\'
from NetypesfromGraph import NetypesfromGraph as nety
netky = nety()
for modefans in [1, 2, 4]: #3,,5
for modemen in [1, 2, 4]: #,5
result = []
startimer = time.clock()
for i in range(experimenTimes):
print '===============================================', i, modefans, modemen
[ma_fans, cbm_frs, inv_mention,
act_micorcnt] = input_init(personcnt,
fans_p=(modefans, 1, 10000),
frs_p=(1, 1, 1000),
men_p=(modemen, 0, 50),
micor_p=(1, 1, 1000))
input = [ma_fans, cbm_frs, inv_mention, act_micorcnt]
# inputm = sp.asmatrix(input, long)
