Python ec Examples

Example #1

File: WattsStrogatz.py Project: indiependente/Social-Networks-Structure

    sys.stdout.flush()

    # ## Execute centrality measures

    # In[5]:

    print '# Page Rank execution...'
    pagerank, iterations, err = pr(g, alpha=1.0e-5, eps=1.0e-3)
    print '#', iterations, ' iterations. Error:', err
    top_pr = [a for a, b in topk(pagerank, seed)]

    # In[6]:

    print '# Eigenvector Centrality...',
    cscores, diffsum = ec(g)
    top_eigenc = [a for a, b in topk(cscores, seed)]
    print '# Done'

    # In[7]:

    print '# Betweennes centrality...',
    bet = betweenness(g)
    top_bet = [a for a, b in topk(bet, seed)]
    print '# Done'

    sys.stdout.flush()

    # ## Execute Independent Cascade Model

    # In[8]:

Example #2

File: cascade_genws.py Project: indiependente/Social-Networks-Structure

# ## Execute centrality measures

# In[12]:

print '# Page Rank execution...'
pagerank, iterations, err = pr(g, alpha=1.0e-5, eps=1.0e-3)
print '#',iterations, ' iterations. Error:', err
top_pr = [a for a,b in topk(pagerank, NODES)]


# In[13]:

print '# Eigenvector Centrality...',
ecscores, _ = ec(g)
top_eigenc = [a for a, b in topk(ecscores, NODES)]
print '# Done'


# In[14]:

print '# Betweennes centrality...',
bet = betweenness(g)
top_bet = [a for a, b in topk(bet, NODES)]
print '# Done'

# ## Execute Independent Cascade Model

seed = [i for i in xrange(200, 7001, 200)]

Example #3

File: cascade_wv.py Project: indiependente/Social-Networks-Structure

sys.stdout.flush()

# ## Execute centrality measures

# In[8]:

print '# Page Rank execution...'
pagerank, iterations, err = pr(g, alpha=1.0e-5, eps=1.0e-3)
print '#',iterations, ' iterations. Error:', err
top_pr = [a for a,b in topk(pagerank, nodes)]


# In[9]:

print '# Eigenvector Centrality...',
cscores, diffsum = ec(g)
top_eigenc = [a for a, b in topk(cscores, nodes)]
print '# Done'


# In[10]:

print '# Betweennes centrality...',
bet = betweenness(g)
top_bet = [a for a, b in topk(bet, nodes)]
print '# Done'

sys.stdout.flush()

# ## Execute Independent Cascade Model

Example #4

File: GenWattsStrogatzGrid.py Project: indiependente/Social-Networks-Structure

        und(g)))
    fi(g)  # Fill incoming edges dictionary

    # ## Execute centrality measures

    # In[12]:

    print '# Page Rank execution...'
    pagerank, iterations, err = pr(g, alpha=1.0e-5, eps=1.0e-3)
    print '#', iterations, ' iterations. Error:', err
    top_pr = [a for a, b in topk(pagerank, seed)]

    # In[13]:

    print '# Eigenvector Centrality...',
    ecscores, _ = ec(g)
    top_eigenc = [a for a, b in topk(ecscores, seed)]
    print '# Done'

    # In[14]:

    print '# Betweennes centrality...',
    bet = betweenness(g)
    top_bet = [a for a, b in topk(bet, seed)]
    print '# Done'

    # ## Execute Independent Cascade Model

    # In[15]:

    seed = 100