The fake news graph analyzer: An open-source software for characterizing spreaders in large diffusion graphs

Amirhosein Bodaghi; Jonice  Oliveira; Jonathan J. H. Zhu

doi:10.1016/j.simpa.2021.100182

The fake news graph analyzer: An open-source software for characterizing spreaders in large diffusion graphs

Amirhosein Bodaghi, Jonice Oliveira, Jonathan J. H. Zhu

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Abstract

In the study of fake news spreading, it is essential to know how different types of spreaders differ in terms of their characteristics, interconnections, and cascading flow. The fake news graph analyzer (FNGA) is an open-source software that provides the required computations for such extended analyses on large graphs. Moreover, FNGA generates data for graph visualizations. Also, FNGA is designed to consider the spreading of both fake and true news simultaneously in the graph, leading to a variety of confrontational patterns. FNGA facilitates future research on fake news and the diffusion of any contagion within a graph of entities.

Original language	English
Pages (from-to)	1-3
Number of pages	3
Journal	Software Impacts
Volume	10
DOIs	https://doi.org/10.1016/j.simpa.2021.100182
Publication status	Published (in print/issue) - 26 Nov 2021

Keywords

Fake news
Social network
Spreading process
Graph analysis
Twitter

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.simpa.2021.100182Licence: CC BY

Bodaghi2021Final published version, 452 KBLicence: CC BY

Cite this

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AU - Zhu, Jonathan J. H.

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Y1 - 2021/11/26

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AB - In the study of fake news spreading, it is essential to know how different types of spreaders differ in terms of their characteristics, interconnections, and cascading flow. The fake news graph analyzer (FNGA) is an open-source software that provides the required computations for such extended analyses on large graphs. Moreover, FNGA generates data for graph visualizations. Also, FNGA is designed to consider the spreading of both fake and true news simultaneously in the graph, leading to a variety of confrontational patterns. FNGA facilitates future research on fake news and the diffusion of any contagion within a graph of entities.

KW - Fake news

KW - Social network

KW - Spreading process

KW - Graph analysis

KW - Twitter

UR - https://scholars.cityu.edu.hk/en/publications/the-fake-news-graph-analyzer(eb0c9a1f-7e32-4723-86dd-56e55fc02efa).html

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M3 - Article

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SP - 1

EP - 3

JO - Software Impacts

JF - Software Impacts

ER -

The fake news graph analyzer: An open-source software for characterizing spreaders in large diffusion graphs

Abstract

Keywords

UN SDGs

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