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 |
|---|---|
| Article number | 100182 |
| Journal | Software Impacts |
| Volume | 10 |
| Online published | 26 Nov 2021 |
| DOIs | |
| Publication status | Published - Nov 2021 |
Research Keywords
- fake news
- social network
- Spreading process
- Graph analysis
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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