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Heterogeneous update processes shape information cascades in social network

2025-04-22Artigo científico Acesso aberto
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dc.contributor.authorPinheiro, Flávio L.
dc.contributor.authorVasconcelos, Vítor V.
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.contributor.pblNature Publishing Group
dc.date.accessioned2025-05-07T21:35:05Z
dc.date.available2025-05-07T21:35:05Z
dc.date.issued2025-04-22
dc.descriptionPinheiro, F. L., & Vasconcelos, V. V. (2025). Heterogeneous update processes shape information cascades in social network. Scientific Reports, 15, 1-11. Article 13999. https://doi.org/10.1038/s41598-025-97809-3 --- FLP acknowledges the financial support provided by FCT Portugal under the project UIDB/04152/2020 – Centro de Investigação em Gestão de Informação (MagIC)/NOVAIMS (https://doi.org/10.54499/UIDB/04152/2020). VVV acknowledges funding from ENLENS under the project ”The Cost of Large-Scale Transitions: Introducing Effective Targeted Incentives.”
dc.description.abstractA common assumption in the literature on information diffusion is that populations are homogeneous regarding individuals’ information acquisition and propagation process: Individuals update their informed and actively communicating state either through imitation (simple contagion) or peer influence (complex contagion). Here, we study the impact of the mixing and placement of individuals with different update processes on how information cascades in social networks. We consider Simple Spreaders, which take information from a random neighbor and communicate it, and Threshold-based Spreaders, which require a threshold number of active neighbors to change their state to active communication. Even though, in a population made exclusively of Simple Spreaders, information reaches all elements of any (connected) network, we show that, when Simple and Threshold-based Spreaders coexist and occupy random positions in a social network, the number of Simple Spreaders systematically amplifies the cascades only in degree heterogeneous networks (exponential and scale-free). In random and modular structures, this cascading effect originated by Simple Spreaders only exists above a critical mass of these individuals. In contrast, when Threshold-based Spreaders are assorted preferentially in the nodes with a higher degree, the cascading effect of Simple Spreaders vanishes, and the spread of information is drastically impaired. Overall, the study highlights the significance of the strategic placement of different roles in networked structures, with Simple Spreaders driving widespread cascades in heterogeneous networks and Threshold-based Spreaders playing a critical regulatory role in information spread with a tunable effect based on the threshold value. These effects have consequences to our understanding of social phenomena, such as the spread of innovations in heterogeneous social systems with the presence of eager (Simple Spreaders) versus averse (Threshold-based Spreaders) adopters, but also to information warfare on social media where Simple Spreaders can be seen as embedded agents (e.g., bots) used to amplify the virality of ill-intended content and, oppositely, Threshold-based Spreaders as an essential self-regulatory element of social systems operating as information filters.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent11
dc.format.extent6863216
dc.identifier.doi10.1038/s41598-025-97809-3
dc.identifier.issn2045-2322
dc.identifier.otherPURE: 115626894
dc.identifier.otherPURE UUID: 408ee350-629c-4a4f-b387-cfdac5d6248c
dc.identifier.otherScopus: 105003305800
dc.identifier.otherWOS: 001472902400014
dc.identifier.otherORCID: /0000-0002-0561-9641/work/183234838
dc.identifier.urihttp://hdl.handle.net/10362/182825
dc.identifier.urlhttps://www.scopus.com/pages/publications/105003305800
dc.identifier.urlhttps://www.webofscience.com/wos/alldb/full-record/CCC:001472902400014
dc.language.isoeng
dc.peerreviewedyes
dc.relationhttps://doi.org/10.54499/UID/04152/2025
dc.relationInformation Management Research Center
dc.subjectCascade dynamics
dc.subjectComplex contagion
dc.subjectSimple contagion
dc.subjectSocial networks
dc.subjectGeneral
dc.titleHeterogeneous update processes shape information cascades in social networken
dc.typejournal article
degois.publication.firstPage1
degois.publication.lastPage11
degois.publication.titleScientific Reports
degois.publication.volume15
dspace.entity.typePublication
oaire.awardNumberUIDB/04152/2020
oaire.awardTitleInformation Management Research Center
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04152%2F2020/PT
oaire.fundingStream6817 - DCRRNI ID
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
relation.isProjectOfPublication3274bdb3-4dd3-4bbe-8f74-d34190081f87
relation.isProjectOfPublication.latestForDiscovery3274bdb3-4dd3-4bbe-8f74-d34190081f87

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