>>> from techminer2.science_mapping.co_occurrence import item_density_visualization
>>> item_density_visualization(
... #
... # PARAMS:
... field='author_keywords',
... #
... # 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",
... #
... # LAYOUT:
... nx_k=None,
... nx_iterations=30,
... nx_random_state=0,
... #
... # DENSITY VISUALIZATION:
... bandwidth=0.1,
... colorscale="Aggrnyl",
... opacity=0.6,
... #
... # AXES:
... xaxes_range=None,
... yaxes_range=None,
... show_axes=False,
... #
... # DATABASE PARAMS:
... root_dir="example/",
... database="main",
... year_filter=(None, None),
... cited_by_filter=(None, None),
... ).write_html("sphinx/_static/analyze/co_occurrence/network/item_density_visualization.html")