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2020 | OriginalPaper | Chapter

How to Prevent Harmful Information Spreading in Social Networks Using Simulation Tools

Authors : Ivan Dmitriev, Elena Zamyatina

Published in: Analysis of Images, Social Networks and Texts

Publisher: Springer International Publishing

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Abstract

The paper discusses the problems of preventing harmful information spreading in social Networks. Social networks are widespread nowadays and are used not only for managers and marketers propagation of advertising, promotion of goods, but also by attackers to spread harmful information. Thus, there is a need to counter the attackers. This paper presents simulation tools and several features that contribute to the successful application for modeling social networks and examine different strategies preventing rumors and harmful information spreading. The authors cite an example of a simulation model for identifying intruders in a social network, software tools and the results of simulation experiments.

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Metadata
Title
How to Prevent Harmful Information Spreading in Social Networks Using Simulation Tools
Authors
Ivan Dmitriev
Elena Zamyatina
Copyright Year
2020
Book
Analysis of Images, Social Networks and Texts

Print ISBN: 978-3-030-39574-2

Electronic ISBN: 978-3-030-39575-9

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-39575-9_21

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