Terms by Cluster Summary

>>> from techminer2.packages.networks.co_authorship.organizations 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  ...  Goethe Univ Frankfurt (DEU) 2:1065; Pennsylvan...
1        1  ...  Columbia Grad Sch of Bus (USA) 1:0390; Stanfor...
2        2  ...  Baylor Univ (USA) 2:0395; Univ of New South Wa...
3        3  ...  Fed Reserv Bank of Philadelphia (USA) 3:0317; ...
4        4  ...  Hankyong Nac Univ (KOR) 1:0557; Western Illino...
5        5  ...                        Univ of Zurich (CHE) 3:0434
6        6  ...  Max Planck Inst for Innovation and Competition...
7        7  ...                             Pace Univ (USA) 2:0323
8        8  ...                     Sungkyunkwan Univ (KOR) 2:0307
9        9  ...                        Univ of Latvia (LVA) 2:0163

[10 rows x 4 columns]