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2020 | OriginalPaper | Buchkapitel

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

verfasst von : Ivan Dmitriev, Elena Zamyatina

Erschienen in: Analysis of Images, Social Networks and Texts

Verlag: 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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Titel: How to Prevent Harmful Information Spreading in Social Networks Using Simulation Tools
verfasst von: Ivan Dmitriev
Elena Zamyatina
Verlag: Springer International Publishing
Buch: Analysis of Images, Social Networks and Texts
Print ISBN: 978-3-030-39574-2

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

Copyright-Jahr: 2020
DOI: https://doi.org/10.1007/978-3-030-39575-9_21

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