Degree Plot

>>> from techminer2.science_mapping.co_authorship.network.organizations import degree_plot
>>> plot = degree_plot(
...     #
...     # 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",
...     #
...     # 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/co_authorship/network//organizations/degree_plot.html")

>>> plot.df_.head()
   Node                                      Name  Degree
0     0     Goethe Univ. of Frankfurt (DEU) 1:576       3
1     1      Pennsylvania State Univ. (USA) 1:576       3
2     2  Singapore Manag. Univ. (SMU) (SGP) 1:576       3
3     3             Univ. of Delaware (USA) 1:576       3
4     4      Univ. of New South Wales (AUS) 2:340       2

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