Plotting the relationships between VSS 2016 abstracts
##Introduction
These notebooks create a force directed graph of the relationships between VSS 2016 abstract co-authors. It takes a Python dictionary that contains author and title information for the accepted abstracts (visvssrelationships_data_2016.json) and creates a dynamic plot using NetworkX and D3.js. The force directed graph utilizes a physical simulation of charged particles and links to bring co-authored articles closer.
##Prerequisites You can run the graph generation in Jupyter.
- jupyter
- beautifulsoup4
- tqdm
- aiohttp
- networkx
- requests
D3.js is dynamically loaded for the presentation page.
##Installation & Usage Running the Jupyter notebooks will generate a "force.json" file in the html subdirectory that has all of the necessary node/link information necessary for D3.js. Load the index.html file in the html directory to see the dynamic simulation. Note that since the index.html requires loading a JSON file, you may need to host this on a webserver. To see a live demo, please go to:
##Related Resources