Introduction to the

It’s April! At the beginning of each month, I will visit the statistics city, because the statistics of each month are updated!

The statistics month of March has a content that is really exciting and very practical! The referee is Kong Lingren, and the url is www.connectedpapers.com/

Here, xiaobian tried to use this website, and made a simple tutorial to share with you.

Note: Suitable for any direction of scientific research personnel!

Using the tutorial

This is a very good free paper network visualization site, the url cover is as follows:

You can use the input paper name or doi, or even the arXiv website to build the correlation diagram of the paper. For example, if I input the doi of an article, the corresponding article will automatically pop up. Or just click Build a graph.

You will get the following interface:

The middle interface is the network diagram related to the article. The color depth indicates the year size, and the deeper the color, the newer the article. The network diagram is interactive, and the details of the article on the right will change as you click on different nodes.

The right interface is the detailed information of the corresponding node, including: article title, author, year, journal, citations, references, etc. You can also continue to build new network diagrams from this article.

The left interface is the preview mode of the network graph node. It is worth mentioning that after expanding, you can download the corresponding references of all the articles in Bibi format! This is really convenient

Note: The biB format only contains author, title, year and doi information. Other information may be missing.

Prior Works and Derivative Works are in the top left corner to see the work before and after this chapter. For example, click Prior Works to get to the following screen, or you can click Download to Download all the articles cited in BIB format.

Xiaobian has something to say

  • The site features:

    • Association graphs are interactive, support sharing, and can export citations.
    • The similarity algorithm used by correlation graph uses co-citation and literature coupling rather than simple direct citation relationship.
    • The website uses a wide range of databases, including a wide range of academic fields.

  • I recommend everyone try it, especially building a network diagram based on a Review, feeling that you can get a clearer picture of the whole article/area through interactive visualizations.