Terms by Cluster Summary

>>> from techminer2.packages.networks.co_authorship.authors import TermsByClusterSummary
>>> (
...     TermsByClusterSummary()
...     #
...     # 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()
... )
   Cluster  ...                                              Terms
0        0  ...  Gomber P. 2:1065; Kauffman R.J. 1:0576; Parker...
1        1  ...        Gai K. 2:0323; Qiu M. 2:0323; Sun X. 2:0323
2        2  ...  Dolata M. 2:0181; Schwabe G. 2:0181; Zavolokin...
3        3  ...  Buchak G. 1:0390; Matvos G. 1:0390; Piskorski ...
4        4  ...              Jagtiani J. 3:0317; Lemieux C. 2:0253
5        5  ...                    Lee I. 1:0557; Shin Y.J. 1:0557
6        6  ...                                   Hornuf L. 2:0358

[7 rows x 4 columns]