title: I don't get the right nodes with my networkx code
body: <p>I am working on my networkx. The question is about :
  <em>Consider the network depicted in Figure 19.27; suppose that each node starts with the behavior B, and each node has a threshold of q = 1/2 for switching to behavior A.
  1(a) : Now, let e and f form a two-node set S of initial adopters of behavior A. If other nodes follow the threshold rule for choosing behaviors, which nodes will eventually switch to A?</em></p>
  
  <p>This is the Network where it is all about:</p>
  
  <p><img src="https://i.stack.imgur.com/M2H9p.png" alt="network pic"></p>
  
  <p>Now, I know the answer to the question is {'c', 'e', 'f', 'i', 'k'}
  But from my code, I only get {'c', 'e', 'f', 'i'}, what is wrong?</p>
  
  <pre><code># Network, dit is de figuur 19.27 van chapter 19 voor vraag 19.8
  def create_network():
      H = nx.Graph()
      H.add_edge('e', 'i')
      H.add_edge('e', 'c')
      H.add_edge('c', 'f')
      H.add_edge('i', 'f')
      H.add_edge('f', 'g')
      H.add_edge('i', 'k')
      H.add_edge('k', 'j')
      H.add_edge('g', 'j')
      H.add_edge('g', 'd')
      H.add_edge('j', 'h')
      # Voegt de edges toe zoals die in figuur 19.27 van Chapter 19 afgebeeld is.
      H.add_edge('d', 'h')
  
      for n in {'e', 'f'}:  # Initial adaptors
          # True betekent dat de node the nieuwe Behavior heeft geadopt
          H.node[n]['new'] = True
      for n in set(H.nodes()) - {'e', 'f'}:  # initial adaptors
          # False betekent dat de node de nieuwe Behavior Reject, dus de node
          # blijft bij de oorspronkelijke behavior
          H.node[n]['new'] = False
  
      nx.draw(H, with_labels=True)  # De output
  
      return H
  
  H = create_network()
  
  # Het netwerk dat na een ronde adaption testen een update uitvoert of de
  # eventueel toegevoegde nodes na de adaption
  def adapted_network(G, a=1, b=1):
      ts = b / (float(b) + a)  # threshold formule van b/(a+b)
      # https://networkx.github.io/documentation/networkx-1.10/reference/generated/networkx.classes.function.get_node_attributes
      getatt = nx.get_node_attributes(G, 'new')
      nodes = [node for node in G.nodes(True) if node[1]['new'] == False]
  
      for node, attribute in nodes:
          readyforadopt = len([neighbor for neighbor in G.neighbors(
              node) if getatt[neighbor] == True]) / float(len(G.neighbors(node)))
          # Node zal een behavior adopten als de gegeven ts de ts van de node
          # overstijgt of gelijk is
          if readyforadopt &gt;= ts:
              G.node[node]['new'] = True
  
      return [node for node in G.nodes(True) if node[1]['new'] == True]
  
  H = create_network()
  print [node for node in H.nodes(True) if node[1]['new'] == True]
  print adapted_network(H)
  </code></pre>