A Temporal-Causal Model for Spread of Messages in Disasters

E. Fernandes de Mello Araujo; Annelore Franke; Rukshar Wagid Hosain

doi:https://doi.org/10.1007/978-3-319-67077-5_37

A Temporal-Causal Model for Spread of Messages in Disasters

E. Fernandes de Mello Araujo, Annelore Franke, Rukshar Wagid Hosain

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

In this paper we describe a temporal-causal model for the spread of messages in disaster situations based on emotion contagion and awareness works. An evaluation of the model has been done by simulation experiments and mathematical analysis. Parameter tuning was done based on two scenarios, including a credible message and a dubious message. The results are useful for the prediction of reactions during disasters, and can be extended to other applications that involve panic and supportive systems to assist people.

Original language	English
Title of host publication	Conference on Computational Collective Intelligence Technologies and Applications
Publisher	Springer/Verlag
Pages	386-397
Number of pages	12
Volume	10449
ISBN (Electronic)	978-3-319-67077-5
ISBN (Print)	978-3-319-67076-8
DOIs	https://doi.org/10.1007/978-3-319-67077-5_37
Publication status	Published - 7 Sep 2017

Keywords

Agent-based model
Disaster
Temporal-causal modeling

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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A Temporal-Causal Model for Spread of Messages in Disasters. / Fernandes de Mello Araujo, E.; Franke, Annelore; Wagid Hosain, Rukshar.

Conference on Computational Collective Intelligence Technologies and Applications. Vol. 10449 Springer/Verlag, 2017. p. 386-397.

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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AU - Wagid Hosain, Rukshar

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A Temporal-Causal Model for Spread of Messages in Disasters

Abstract

Keywords

UN SDGs

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