Degree Plot

>>> from techminer2.science_mapping.bibliographic_coupling.countries import degree_plot
>>> plot = degree_plot(
...     #
...     # COLUMN PARAMS:
...     top_n=20,
...     citations_threshold=0,
...     occurrence_threshold=2,
...     custom_items=None,
...     #
...     # NETWORK PARAMS:
...     algorithm_or_dict="louvain",
...     #
...     # 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/analyze/bibliographic_coupling/countries/degree_plot.html")

>>> plot.df_.head()
   Node                    Name  Degree
0     0         Germany 07:1814       9
1     1   United States 16:3189       9
2     2           China 08:1085       8
3     3     Netherlands 03:0300       8
4     4  United Kingdom 03:0636       8

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