text: """
  Thematic Map / Indicators
  ===============================================================================
  
  >>> from techminer2 import *
  >>> directory = "data/"
  >>> thematic_map_indicators(
  ...     'author_keywords', min_occ=4, directory=directory
  ... ).head()
                          num_documents  global_citations  ...  closeness  pagerank
  node                                                     ...                     
  bank                                5                12  ...   0.636364  0.106303
  blockchain                          6                 9  ...   0.636364  0.126858
  covid-19                            6                 8  ...   0.583333  0.109351
  financial inclusion                10                14  ...   0.636364  0.094269
  financial technologies             12                32  ...   0.700000  0.131281
  <BLANKLINE>
  [5 rows x 6 columns]
  
  """
  
  
  from .co_occurrence_network_indicators import co_occurrence_network_indicators
  
  
  def thematic_map_indicators(
      column,
      min_occ=2,
      directory="./",
  ):
  
      return co_occurrence_network_indicators(
          column,
          min_occ=min_occ,
          normalization="association",
          clustering_method="louvain",
          directory=directory,
      )
  