Building and Analyzing a Global Co-Authorship Network Using Google Scholar Data (full citation below)
Licensed under Creative Commons Attribution Share Alike 4.0.
A global co-authorship network with 402.39K nodes and 1.23 million edges
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nodes.txt
: all the node IDs used in the dataset -
edges.txt
: the co-authorship network among the authors. For example, "1, 3" means author 1 and author 3 are co-authors. -
gs_info.txt
: the information of each node within the network. Each line in this file represents one node. The elements within each line: node_ID, total_number_of_citations, h-index, g-index, academic title(3-professors/2-postdocs/1-students/0-unknown), computer_science_author?(1-yes,0-no), biology_author?(1-yes,0-no), sociology_author?(1-yes,0-no)
@inproceedings{Chen_BigScholar17,
author = {Yang Chen and Cong Ding and Jiyao Hu and Ruichuan Chen and Pan Hui and Xiaoming Fu},
title = {{Building and Analyzing a Global Co-Authorship Network Using Google Scholar Data}},
booktitle = {Proc. of 26th International World Wide Web Conference (WWW 2017) Companion},
year = {2017},
}