Degree Plot

>>> from techminer2.science_mapping.bibliographic_coupling.documents import degree_plot
>>> plot = degree_plot(
...     #
...     # ARTICLE PARAMS:
...     top_n=20,
...     citations_threshold=0,
...     #
...     # 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/documents/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 ...