Clusters to Terms Mapping

>>> from techminer2.packages.networks.co_authorship.countries import ClustersToTermsMapping
>>> mapping = (
...     ClustersToTermsMapping()
...     #
...     # FIELD:
...     .having_terms_in_top(20)
...     .having_terms_ordered_by("OCC")
...     .having_term_occurrences_between(None, None)
...     .having_term_citations_between(None, None)
...     .having_terms_in(None)
...     #
...     # COUNTERS:
...     .using_term_counters(True)
...     #
...     # NETWORK:
...     .using_clustering_algorithm_or_dict("louvain")
...     .using_association_index("association")
...     #
...     # DATABASE:
...     .where_root_directory_is("example/")
...     .where_database_is("main")
...     .where_record_years_range_is(None, None)
...     .where_record_citations_range_is(None, None)
...     .where_records_match(None)
...     #
...     .run()
... )
>>> from pprint import pprint
>>> pprint(mapping)
{0: ['United States 16:3189',
     'China 08:1085',
     'South Korea 06:1192',
     'Sweden 01:0160',
     'Kazakhstan 01:0121',
     'Belgium 01:0101'],
 1: ['Germany 07:1814',
     'Netherlands 03:0300',
     'Denmark 02:0330',
     'Singapore 01:0576',
     'France 01:0258'],
 2: ['Australia 05:0783', 'United Kingdom 03:0636', 'Hong Kong 01:0178'],
 3: ['Switzerland 04:0660'],
 4: ['Latvia 02:0163'],
 5: ['Spain 01:0225'],
 6: ['Indonesia 01:0102'],
 7: ['Slovenia 01:0102'],
 8: ['Brunei Darussalam 01:0090']}