![]() The exploration of the connected papers in a visual graph starts with a “seed” paper (relevant paper). ![]() Searching with a “Seed Paper” in Connected Papers The team has done the job of compiling hundreds of millions of published papers across many scientific fields. ![]() Their database is connected to the Semantic Scholar Paper Corpus (licensed under ODC-BY).Upon node selection, they highlight the shortest path from each node to the origin paper in similarity space. Their algorithm 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.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. Their similarity metric is based on the concepts of Co-citation and Bibliographic Coupling.That means that even papers that do not directly cite each other can be strongly connected and very closely positioned. In the graph, papers are arranged according to their similarity.To create each graph, Connected Papers analyzes an order of ~50,000 papers and selects a few dozen with the strongest connections to the origin paper.It simplifies the process of searching for research papers, fastens the literature discovery, and makes literature exploration more visual, interactive and straightforward.Ĭonnected Papers lists the following operations on its website. Struggling to search research papers by inputting keywords or topics in the traditional databases or Google for your literature review? In this blog, we introduce Connected Papers, a visual tool to help speed up literature searches and explore academic papers.Ĭonnected Papers is a handy and powerful tool. ![]() Research Tools Connected Papers: A visual tool that helps speed up your literature search ![]()
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