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2020 | OriginalPaper | Chapter

Evaluation of the Costs of Delayed Campaigns for Limiting the Spread of Negative Content, Panic and Rumours in Complex Networks

Authors : Jaroslaw Jankowski, Piotr Bartkow, Patryk Pazura, Kamil Bortko

Published in: Computational Science – ICCS 2020

Publisher: Springer International Publishing

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Abstract

Increasing the performance of information spreading processes and influence maximisation is important from the perspective of marketing and other activities within social networks. Another direction is suppressing spreading processes for limiting the coverage of misleading information, spreading information helping to avoid epidemics or decreasing the role of competitors on the market. Suppressing action can take a form of spreading competing content and it’s performance is related to timing and campaign intensity. Presented in this paper study showed how the delay in launching suppressing process can be compensated by properly chosen parameters and the action still can be successful.

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previous chapter Entropy-Based Measure for Influence Maximization in Temporal Networks
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Metadata
Title
Evaluation of the Costs of Delayed Campaigns for Limiting the Spread of Negative Content, Panic and Rumours in Complex Networks
Authors
Jaroslaw Jankowski
Piotr Bartkow
Patryk Pazura
Kamil Bortko
Copyright Year
2020
Book
Computational Science – ICCS 2020

Print ISBN: 978-3-030-50422-9

Electronic ISBN: 978-3-030-50423-6

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-50423-6_22