Network Degree Frame

Example

>>> from techminer2.packages.networks.coupling.organizations  import NodeDegreeDataFrame

>>> df = (
...     NodeDegreeDataFrame()
...     #
...     # UNIT OF ANALYSIS:
...     .having_terms_in_top(20)
...     .having_citation_threshold(0)
...     .having_occurrence_threshold(2)
...     .having_terms_in(None)
...     #
...     # COUNTERS:
...     .using_term_counters(True)
...     #
...     # 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)

>>> # Display the resulting data frame
>>> print(df)  
Node                                               Name  Degree
0     0                 Goethe Univ Frankfurt (DEU) 2:1065       4
1     1                        Univ of Sydney (AUS) 2:0300       4
2     2               Pennsylvania State Univ (USA) 1:0576       4
3     3            Singapore Manag Univ (SMU) (SGP) 1:0576       4
4     4                      Univ of Delaware (USA) 1:0576       4
5     5       Fed Reserv Bank of Philadelphia (USA) 3:0317       1
6     6  Max Planck Inst for Innovation and Competition...       1
7     7                     Sungkyunkwan Univ (KOR) 2:0307       1
8     8            Fed Reserv Bank of Chicago (USA) 2:0253       1

>>> df = (
...     NodeDegreeDataFrame()
...     #
...     # UNIT OF ANALYSIS:
...     .having_terms_in_top(20)
...     .having_citation_threshold(0)
...     .having_occurrence_threshold(2)
...     .having_terms_in(None)
...     #
...     # COUNTERS:
...     .using_term_counters(False)
...     #
...     # 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)

>>> # Display the resulting data frame
>>> print(df)