Terms by Cluster Frame

Example

>>> from techminer2.packages.networks.citation.sources 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("examples/fintech/")
...     .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          Sustainability 2:150  ...     J. Econ. Bus. 3:422
1             Bus. Horiz. 1:557  ...  Financial Innov. 2:190
2        Small Bus. Econ. 1:258  ...   Financ. Manage. 2:161
3  Busin. Info. Sys. Eng. 1:253  ...
4        Int J Inf Manage 1:180  ...
5          China Econ. J. 1:096  ...

[6 rows x 4 columns]