Connected Papers Accounts

What Is Connected Papers?

Connected Papers is a unique tool designed to help researchers and academics explore and understand the research landscape around a specific academic paper. It visualizes the connections between papers based on their shared references and citations, creating a graph that highlights how papers are related to each other. It is particularly useful for:

Discovering New Papers: Researchers can find papers that are closely related to their topic of interest.

Literature Review: It helps in identifying seminal and recent works relevant to a specific research topic.

Understanding Research Trends: By visualizing the connections between papers, researchers can gain insights into the development and trends within a particular field.

How Does Connected Papers Work?

Input Paper: The user starts by entering a paper title, DOI, or author name.

Graph Generation: Connected Papers uses an algorithm to generate a graph of related papers. This process involves:

Data Source: It pulls data from the Semantic Scholar database, which contains millions of academic papers across various disciplines.

Similarity Calculation: The tool calculates the similarity between papers based on their citation graph. This involves analyzing how many papers are co-cited (cited together by other papers) and how many references they share.

Visualization: The result is a graph where:

Nodes: Each node represents a paper.

Edges: The edges (connections between nodes) indicate the similarity between the papers based on shared references and citations.

Layout: The layout of the graph is designed to position similar papers closer together.

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