code: def small_ego_G():
      """The sample network from https://arxiv.org/pdf/1310.6753v1.pdf"""
      edges = [
          ("a", "b"),
          ("a", "c"),
          ("b", "c"),
          ("b", "d"),
          ("b", "e"),
          ("b", "f"),
          ("c", "d"),
          ("c", "f"),
          ("c", "h"),
          ("d", "f"),
          ("e", "f"),
          ("f", "h"),
          ("h", "j"),
          ("h", "k"),
          ("i", "j"),
          ("i", "k"),
          ("j", "k"),
          ("u", "a"),
          ("u", "b"),
          ("u", "c"),
          ("u", "d"),
          ("u", "e"),
          ("u", "f"),
          ("u", "g"),
          ("u", "h"),
          ("u", "i"),
          ("u", "j"),
          ("u", "k"),
      ]
      G = nx.Graph()
      G.add_edges_from(edges)
  
      return G
  
imports: import networkx
label_desc: Use image node_id 1 for calling a global function with example usage: small_ego_G() and returns: G