Communities

>>> from techminer2.science_mapping.co_occurrence import communities
>>> communities(
...     #
...     # PARAMS:
...     field='author_keywords',
...     #
...     # COLUMN PARAMS:
...     top_n=20,
...     occ_range=(None, None),
...     gc_range=(None, None),
...     custom_items=None,
...     #
...     # NETWORK PARAMS:
...     algorithm_or_dict="louvain",
...     association_index="association",
...     #
...     # DATABASE PARAMS:
...     root_dir="example/",
...     database="main",
...     year_filter=(None, None),
...     cited_by_filter=(None, None),
... )
                          CL_0  ...                             CL_3
0              FINTECH 31:5168  ...  ARTIFICIAL_INTELLIGENCE 02:0327
1  FINANCIAL_INCLUSION 03:0590  ...                  FINANCE 02:0309
2         CROWDFUNDING 03:0335  ...                   ROBOTS 02:0289
3      BUSINESS_MODELS 02:0759  ...
4       CYBER_SECURITY 02:0342  ...
5           CASE_STUDY 02:0340  ...
6           BLOCKCHAIN 02:0305  ...
7              REGTECH 02:0266  ...

[8 rows x 4 columns]