code: def star_graph(n, create_using=None):
      """Return the star graph
  
      The star graph consists of one center node connected to n outer nodes.
  
      .. plot::
  
          >>> nx.draw(nx.star_graph(6))
  
      Parameters
      ----------
      n : int or iterable
          If an integer, node labels are 0 to n with center 0.
          If an iterable of nodes, the center is the first.
          Warning: n is not checked for duplicates and if present the
          resulting graph may not be as desired. Make sure you have no duplicates.
      create_using : NetworkX graph constructor, optional (default=nx.Graph)
         Graph type to create. If graph instance, then cleared before populated.
  
      Notes
      -----
      The graph has n+1 nodes for integer n.
      So star_graph(3) is the same as star_graph(range(4)).
      """
      n, nodes = n
      if isinstance(n, numbers.Integral):
          nodes.append(n)  # there should be n+1 nodes
      G = empty_graph(nodes, create_using)
      if G.is_directed():
          raise NetworkXError("Directed Graph not supported")
  
      if len(nodes) > 1:
          hub, *spokes = nodes
          G.add_edges_from((hub, node) for node in spokes)
      return G
  
imports: import itertools
  import numbers
  import networkx
  from networkx.classes import Graph
  from networkx.exception import NetworkXError
  from networkx.utils import nodes_or_number, pairwise
label_desc: Use image node_id 16 for calling a global function with example usage: star_graph(n, create_using) and returns: G