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Using Web of Science metadata records, this script creates and analyzes co-authorship networks.

Python 100.00%

web_of_science_coauthorship_networks's Introduction

Web_of_Science_CoAuthorship_Networks

Using Web of Science metadata records, this script creates and analyzes co-authorship networks. It was orginally created to produce and analyze co-authorship networks of different universities.

When downloading Web of Science records:
1.) Click export
2.) Select "Other file formats"
3.) Select "All records on page" or fill in the optional numerical values
4.) Under Record Content, select "Full Record and Cited References"
5.) Under File Format, select "Tab delimited UTF-8" for Windows or Mac

You can find an example file in this repository.

This is the only type of Web of Science record this script can analyze. Because your data set might be larger than the maximum of 500 record limit per download, you can concatenate multiple Web of Science records into a single plain text file.

If you experience trouble with the encoding of your file, open it in a text editor that allows you to change the encoding to UTF-8. This often occurs with files that are encoded UTF-8, with BOM.

The statistics file will output network statistics in a tab-seperated text file in the following format:
Year
Records
Nodes
Edges
Density Degree Assortativity
Approximate Average Clustering Co-efficient
Degree of Fragmentation
Cliques
Single Value Decomposition

The script will also create .gml and a .net graph file. You can take these files and import them into your favorite visualization program such as Gephi, Cytoscape, or VOSviewer.

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