Connected Papers: A visual tool for researchers to find + explore academic papers test it out
How does it work?
To create each graph, we analyze an order of ~50,000 papers and select the few dozen with the strongest connections to the origin paper.
In the graph, papers are arranged according to their similarity. That means that even papers that do not directly cite each other can be strongly connected and very closely positioned. Connected Papers is not a citation tree.
Our similarity metric is based on the concepts of Co-citation and Bibliographic Coupling. According to this measure, two papers that have highly overlapping citations and references are presumed to have a higher chance of treating a related subject matter.
Our algorithm then builds a Force Directed Graph to distribute the papers in a way that visually clusters similar papers together and pushes less similar papers away from each other.
Our database is connected to the Semantic Scholar Paper Corpus (licensed under ODC-BY). Their team has done an amazing job of compiling hundreds of millions of published papers across many scientific fields.
Note: This website is optimized for desktop browsers.
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?New project? @iliablinderman put together a data-driven travel guide to the US so you can have something to look forward post-quarantine & plan your next trip. Whether you prefer popular tourist attractions or local haunts, we’ve got you covered. https://t.co/PdQpFXdqRY pic.twitter.com/2g1RlTbSX8
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