This project analyzes and visualizes citation networks for two academic papers using the Semantic Scholar API and the NetworkX library in Python. It's structured as a Jupyter Notebook to allow for step-by-step execution and easy visualization of the results.
Find the paper: Use the Semantic Scholar search engine to find the paper you are interested in. Open the paper's page: Click on the title of the paper to go to its dedicated page.
Extract the ID from the URL: Look at the URL in your browser's address bar. The paper ID is the long alphanumeric string that appears at the end of the URL.
In this example, the paper ID is: f7b7b397072e66d7e8f515cb5a97d6c4bfd953ba
Use this extracted ID to update the root_paper_ids list in your notebook.