This demo app is built using plotly-dash and dash-cytoscape, as an example of a network diagram that may be displayed.
The dataset used it the 'Commercial use subset' of the CORD-19 dataset from Semantic Scholar, downloaded on 2/Apr/2020.
Simply run python app.py to see the network visualisation as below.
The scripts used to produce the data are labelled by number:
1_lda_analysis.py
2_add_biblio_data.py
3_reduce_num_nodes.py
Simply downloading the dataset (including metadata.csv) and running these scripts should reproduce the same outputs.
You can edit 4_build_default_cytomap.py to change these parameters,
min_n_cites = 1
top_journals = list(journal_ser.index)[:3]
and run the file to adjust default node layouts and ranges.
You may also edit the drop-down menu range
id="n_cites_dropdown",
options=[
{"label": k, "value": k} for k in range(1, 21)
],
in app.py to adjust the selectable range of filters being displayed.
- Created by JP Hwang for Plotly