Network Degree Plot

>>> from techminer2.coupling_network import node_degree_plot
>>> plot = node_degree_plot(
...     unit_of_analysis='authors', # article
...                                 # authors
...                                 # countries
...                                 # organizations
...                                 # sources
...     #
...     # FILTERS:
...     top_n=20,
...     citations_threshold=0,
...     #
...     # FILTERS NOT VALID FOR 'article' UNIT OF ANALYSIS:
...     occurrence_threshold=2,
...     custom_terms=None,
...     #
...     # DEGREE PLOT:
...     textfont_size=10,
...     marker_size=7,
...     line_color="black",
...     line_width=1.5,
...     yshift=4,
...     #
...     # DATABASE PARAMS:
...     root_dir="example/",
...     database="main",
...     year_filter=(None, None),
...     cited_by_filter=(None, None),
... )
>>> plot.fig_.write_html("sphinx/_static/coupling_network/others_node_degree_plot.html")

>>> plot.df_.head()
   Node                Name  Degree
0     0    Gomber P. 2:1065       3
1     1    Hornuf L. 2:0358       3
2     2  Jagtiani J. 3:0317       3
3     3   Lemieux C. 2:0253       3
4     4    Dolata M. 2:0181       2

>>> print(plot.prompt_) 
Your task is ...

>>> # article:
>>> from techminer2.coupling_network import node_degree_plot
>>> plot = node_degree_plot(
...     unit_of_analysis='article', # article
...                                 # authors
...                                 # countries,
...                                 # organizations
...                                 # sources
...     #
...     # FILTERS:
...     top_n=20,
...     citations_threshold=0,
...     #
...     # NOT VALID FOR 'article' UNIT OF ANALYSIS:
...     occurrence_threshold=2,
...     custom_terms=None,
...     #
...     # DEGREE PLOT:
...     textfont_size=10,
...     marker_size=7,
...     line_color="black",
...     line_width=1.5,
...     yshift=4,
...     #
...     # DATABASE PARAMS:
...     root_dir="example/",
...     database="main",
...     year_filter=(None, None),
...     cited_by_filter=(None, None),
... )
>>> plot.fig_.write_html("sphinx/_static/coupling_network/docs_node_degree_plot.html")

>>> plot.df_.head()
   Node                                        Name  Degree
0     0  Anagnostopoulos I., 2018, J ECON BUS 1:202       7
1     1           Gomber P., 2017, J BUS ECON 1:489       7
2     2    Gomber P., 2018, J MANAGE INF SYST 1:576       5
3     3                 Hu Z., 2019, SYMMETRY 1:176       4
4     4  Ryu H.-S., 2018, IND MANAGE DATA SYS 1:161       4

>>> print(plot.prompt_) 
Your task is ...