Data

Coordination Network Toolkit

Queensland University of Technology
Graham, Timothy ; QUT Digital Observatory
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25912/RDF_1632782596538&rft.title=Coordination Network Toolkit&rft.identifier=10.25912/RDF_1632782596538&rft.publisher=Queensland University of Technology&rft.description=A small Python command line tool and set of functions for studying coordination networks in Twitter and other social media data. Rationale and Background Social media activity doesn't occur in a vaccuum. Individuals on social media are often taking part in coordinated activities such as protest movements or interest-based communities. Social media platforms are also used strategically to boost particular messages in line with political campaign goals or for commercial profit and scamming. This involves multiple accounts posting or reposting the same content, repeatedly and within a short time window (e.g. within 1 minute). This software provides a toolkit to detect coordinated activity on social media and to generate networks that map the actors and their relationships. It provides a general purpose toolkit for multiple types of coordinated activity on any type of social media platform. Firstly, it includes functionality for co-tweeting and co-retweeting (Keller et al., 2019; Schafer et al., 2017), where accounts post exactly the same text (co-tweets) or repost the same post within a short time window (co-retweets). Secondly, it includes functionality for co-link analysis, where multiple accounts post the same URLs repeatedly and in a short time window of each other (Giglietto et al., 2020). Thirdly, it adds two new types of network types: co-reply, where accounts are replying to the same post repeatedly together; and co-similarity, where accounts post similar text (but not exact duplicates), which relaxes the strict assumption of co-tweeting. Five types of coordination networks supported: 1. Co-retweet: reposting the same post 2. Co-tweet: posting identical text 3. Co-similarity: posting similar text (Jaccard similarity or user-defined) 4. Co-link: posting the same link 5. Co-reply: replying to the same post Installation and Requirements: This tool requires a working Python 3.6 (or later) environment. This tool can be installed from pip - this will handle installing the necessary dependencies. pip install coordination_network_toolkit Once you have installed it, you can use the toolkit in one of two ways: 1. As a command-line tool (run compute_networks --help to find out how) 2. As a Python library (import coordination_network_toolkit) For more information, see . &rft.creator=Graham, Timothy &rft.creator=QUT Digital Observatory &rft.date=2020&rft.edition=1.0&rft.relation=https://eprints.qut.edu.au/207260/&rft_rights=© Queensland University of Technology, 2021. &rft_rights=MIT License&rft_subject=STUDIES IN HUMAN SOCIETY&rft_subject=LANGUAGE, COMMUNICATION AND CULTURE&rft_subject=Communication Technology and Digital Media Studies&rft_subject=COMMUNICATION AND MEDIA STUDIES&rft_subject=Similarity networks&rft_subject=Social media analysis&rft_subject=Pattern Recognition and Data Mining&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft_subject=ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING&rft.type=dataset&rft.language=English Access the data

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MIT License

© Queensland University of Technology, 2021.

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Contact Information

Postal Address:
Dr Timothy Graham
Ph: +61 7 3138 8187

timothy.graham@qut.edu.au

Full description

A small Python command line tool and set of functions for studying coordination networks in Twitter and other social media data.

Rationale and Background

Social media activity doesn't occur in a vaccuum. Individuals on social media are often taking part in coordinated activities such as protest movements or interest-based communities.

Social media platforms are also used strategically to boost particular messages in line with political campaign goals or for commercial profit and scamming. This involves multiple accounts posting or reposting the same content, repeatedly and within a short time window (e.g. within 1 minute).

This software provides a toolkit to detect coordinated activity on social media and to generate networks that map the actors and their relationships. It provides a general purpose toolkit for multiple types of coordinated activity on any type of social media platform.

Firstly, it includes functionality for co-tweeting and co-retweeting (Keller et al., 2019; Schafer et al., 2017), where accounts post exactly the same text (co-tweets) or repost the same post within a short time window (co-retweets). Secondly, it includes functionality for co-link analysis, where multiple accounts post the same URLs repeatedly and in a short time window of each other (Giglietto et al., 2020). Thirdly, it adds two new types of network types: co-reply, where accounts are replying to the same post repeatedly together; and co-similarity, where accounts post similar text (but not exact duplicates), which relaxes the strict assumption of co-tweeting.

Five types of coordination networks supported:

1. Co-retweet: reposting the same post

2. Co-tweet: posting identical text

3. Co-similarity: posting similar text (Jaccard similarity or user-defined)

4. Co-link: posting the same link

5. Co-reply: replying to the same post

Installation and Requirements:

This tool requires a working Python 3.6 (or later) environment.

This tool can be installed from pip - this will handle installing the necessary dependencies.

pip install coordination_network_toolkit

Once you have installed it, you can use the toolkit in one of two ways:

1. As a command-line tool (run compute_networks --help to find out how)

2. As a Python library (import coordination_network_toolkit)

For more information, see .

Data time period: 16 11 2020 to 18 12 2020

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