ASU/UNSW-CNATCC-001

Citation Author(s):
Nathan
Johnson
Arizona State University
Benjamin
Turnbull
University of New South Wales
Martin
Reisslein
Arizona State University
Nour
Moustafa
University of New South Wales
Submitted by:
Nathan Johnson
Last updated:
Tue, 02/15/2022 - 14:20
DOI:
10.21227/01e7-pj58
Data Format:
JSON
License:
Creative Commons Attribution
169 Views
Categories:
Artificial Intelligence
Machine Learning
Keywords:
Social Media, Influence, artificial intelligence, deep neural network
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Abstract 

Four independently built Twitter JSON files containing between 40,000 - 50,000 tweets with a common Hashtag to be used with network discovery algorithms.

Instructions: 

Please read documentation and cite authors if used, thank you. 

Dataset Files

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Documentation

AttachmentSize
File ASUUNSW-CNATCC-001 dataset description_Johnson_final.docx116.36 KB

 

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