Node Degree Frame

>>> #
>>> # TEST PREPARATION
>>> #
>>> from techminer2.thesaurus.descriptors import ApplyThesaurus, CreateThesaurus
>>> CreateThesaurus(root_directory="example/", quiet=True).run()
>>> ApplyThesaurus(root_directory="example/", quiet=True).run()

>>> #
>>> # CODE TESTED
>>> #
>>> from techminer2.packages.networks.co_occurrence.author_keywords import NodeDegreeDataFrame
>>> (
...     NodeDegreeDataFrame()
...     #
...     # 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_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()
... ).head(15)
    Node                             Name  Degree
0      0                  FINTECH 31:5168      18
1      1        FINANCIAL_SERVICE 04:0667       8
2      2               INNOVATION 07:0911       7
3      3             TECHNOLOGIES 02:0310       6
4      4               BLOCKCHAIN 03:0369       5
5      5    FINANCIAL_INSTITUTION 02:0484       5
6      6                  FINANCE 02:0309       5
7      7                   ROBOTS 02:0289       5
8      8                  REGTECH 02:0266       5
9      9           BUSINESS_MODEL 03:0896       4
10    10   FINANCIAL_TECHNOLOGIES 03:0461       4
11    11                  BANKING 02:0291       4
12    12      MARKETPLACE_LENDING 03:0317       3
13    13             CASE_STUDIES 02:0340       3
14    14  ARTIFICIAL_INTELLIGENCE 02:0327       3

>>> #
>>> # CODE TESTED
>>> #
>>> from techminer2.packages.networks.co_occurrence.author_keywords import NodeDegreeDataFrame
>>> (
...     NodeDegreeDataFrame()
...     #
...     # 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(False)
...     #
...     # NETWORK:
...     .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()
... ).head(15)
    Node                             Name  Degree
0      0                  FINTECH 31:5168      18
1      1        FINANCIAL_SERVICE 04:0667       8
2      2               INNOVATION 07:0911       7
3      3             TECHNOLOGIES 02:0310       6
4      4               BLOCKCHAIN 03:0369       5
5      5    FINANCIAL_INSTITUTION 02:0484       5
6      6                  FINANCE 02:0309       5
7      7                   ROBOTS 02:0289       5
8      8                  REGTECH 02:0266       5
9      9           BUSINESS_MODEL 03:0896       4
10    10   FINANCIAL_TECHNOLOGIES 03:0461       4
11    11                  BANKING 02:0291       4
12    12      MARKETPLACE_LENDING 03:0317       3
13    13             CASE_STUDIES 02:0340       3
14    14  ARTIFICIAL_INTELLIGENCE 02:0327       3