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

  • Amirhosein Bodaghi*
  • , Jonice Oliveira
  • , Jonathan J.H. Zhu
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

77 Downloads (CityUHK Scholars)

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 languageEnglish
Article number100182
JournalSoftware Impacts
Volume10
Online published26 Nov 2021
DOIs
Publication statusPublished - Nov 2021

Research Keywords

  • fake news
  • social network
  • Spreading process
  • Graph analysis
  • Twitter

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

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