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Influencing the dynamics of correlated opinions in the voter model on multiplex networks

Influencing the dynamics of correlated opinions in the voter model on multiplex networks
Influencing the dynamics of correlated opinions in the voter model on multiplex networks
Processes of opinion formation have found much attention in the recent literature on complex systems and networks [2]. Whereas many studies have considered the spread of opinions on a single network, recognition of, in particular, the multi-relational structure of online activities [6] has led to an increased interest in spreading processes on multi-layer networks, where ignoring the existence of different types of connections can have important consequences for our ability to model such systems [7, 5]. Here, building on previous work on opinion propagation in the voting dynamics [4, 8] we are interested in maximizing influence on a multi-layer network. Different to previous work [9], we study influence maximization for multiple correlated opinions, where opinions about different issues spread on different layers of a multiplex network. As an example, consider how people discuss different topics with their friends in offline and online social networks. Yet, holding a particular opinion about one topic may change the individuals’ susceptibility to adopt opinions about other topics, thus effectively coupling different network layers through opinion correlations. Studying influence maximization in such settings allows for a gradual control of the population, as has been observed in real-world scenarios [3]. For instance, we can first prime a population by spreading a particular attitude, which then allows for an easier propagation of our desired opinion. In this paper we formalize a model of such correlated opinion dynamics on multiplex networks, develop an algorithm for optimizing influence on controlled opinions, and provide analysis of different scenarios of optimal control in the presence of an adversary.
Manino, Edoardo
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Romero Moreno, Guillermo
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Cai, Zhongqi
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Brede, Markus
bbd03865-8e0b-4372-b9d7-cd549631f3f7
Manino, Edoardo
e5cec65c-c44b-45de-8255-7b1d8edfc04d
Romero Moreno, Guillermo
8c2f32d6-b0b5-4563-af22-c08b410b867f
Cai, Zhongqi
b3ce4c1b-e545-4a86-9592-960542756e14
Brede, Markus
bbd03865-8e0b-4372-b9d7-cd549631f3f7

Manino, Edoardo, Romero Moreno, Guillermo, Cai, Zhongqi and Brede, Markus (2020) Influencing the dynamics of correlated opinions in the voter model on multiplex networks. International School and Conference on Network Science, , Rome, Italy. 17 - 25 Sep 2020. 1 pp . (In Press)

Record type: Conference or Workshop Item (Paper)

Abstract

Processes of opinion formation have found much attention in the recent literature on complex systems and networks [2]. Whereas many studies have considered the spread of opinions on a single network, recognition of, in particular, the multi-relational structure of online activities [6] has led to an increased interest in spreading processes on multi-layer networks, where ignoring the existence of different types of connections can have important consequences for our ability to model such systems [7, 5]. Here, building on previous work on opinion propagation in the voting dynamics [4, 8] we are interested in maximizing influence on a multi-layer network. Different to previous work [9], we study influence maximization for multiple correlated opinions, where opinions about different issues spread on different layers of a multiplex network. As an example, consider how people discuss different topics with their friends in offline and online social networks. Yet, holding a particular opinion about one topic may change the individuals’ susceptibility to adopt opinions about other topics, thus effectively coupling different network layers through opinion correlations. Studying influence maximization in such settings allows for a gradual control of the population, as has been observed in real-world scenarios [3]. For instance, we can first prime a population by spreading a particular attitude, which then allows for an easier propagation of our desired opinion. In this paper we formalize a model of such correlated opinion dynamics on multiplex networks, develop an algorithm for optimizing influence on controlled opinions, and provide analysis of different scenarios of optimal control in the presence of an adversary.

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NETSCI_2020_abstract_407 - Accepted Manuscript
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Accepted/In Press date: 2020
Venue - Dates: International School and Conference on Network Science, , Rome, Italy, 2020-09-17 - 2020-09-25

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Local EPrints ID: 443904
URI: http://eprints.soton.ac.uk/id/eprint/443904
PURE UUID: c1e68daf-bb16-4ec5-a5be-8385e417afff
ORCID for Edoardo Manino: ORCID iD orcid.org/0000-0003-0028-5440
ORCID for Guillermo Romero Moreno: ORCID iD orcid.org/0000-0002-0316-8306

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Date deposited: 16 Sep 2020 16:34
Last modified: 08 Oct 2020 16:40

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Contributors

Author: Edoardo Manino ORCID iD
Author: Guillermo Romero Moreno ORCID iD
Author: Zhongqi Cai
Author: Markus Brede

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