Terms by Cluster Frame

>>> from techminer2.packages.networks.citation.organizations import TermsByClusterDataFrame
>>> (
...     TermsByClusterDataFrame()
...     #
...     # UNIT OF ANALYSIS:
...     .having_terms_in_top(30)
...     .having_citation_threshold(0)
...     .having_occurrence_threshold(2)
...     .having_terms_in(None)
...     #
...     # CLUSTERING:
...     .using_clustering_algorithm_or_dict("louvain")
...     #
...     # 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()
... ).head(10)
                                                   0  ...                               3
0                        Univ of Zurich (CHE) 3:0434  ...  Sungkyunkwan Univ (KOR) 2:0307
1  Max Planck Inst for Innovation and Competition...  ...   Univ of Zaragoza (ESP) 1:0225
2  CESifo, Poschingerstr. 5, Munich, 81679, Germa...  ...
3                         SKEMA Bus Sch (FRA) 1:0258  ...
4                        Univ of Bremen (DEU) 1:0258  ...
5          Univ of Lille Nord de France (FRA) 1:0258  ...

[6 rows x 4 columns]