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Unlocking the power of Twitter communities for startups

2023-12-01Artigo científico Acesso aberto
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dc.contributor.authorPeixoto, Ana Rita
dc.contributor.authorAlmeida, Ana de
dc.contributor.authorAntónio, Nuno
dc.contributor.authorBatista, Fernando
dc.contributor.authorRibeiro, Ricardo
dc.contributor.authorCardoso, Elsa
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.contributor.pblSpringer Nature
dc.date.accessioned2023-09-25T22:20:26Z
dc.date.available2023-09-25T22:20:26Z
dc.date.issued2023-12-01
dc.descriptionPeixoto, A. R., Almeida, A. D., António, N., Batista, F., Ribeiro, R., & Cardoso, E. (2023). Unlocking the power of Twitter communities for startups. Applied Network Science, 8, 1-21. [66]. https://doi.org/10.21203/rs.3.rs-3062630/v1, https://doi.org/10.1007/s41109-023-00593-0 --- This work was partially supported by Fundação para a Ciência e a Tecnologia, I.P. (FCT) namely by UIDB/04466/2020 and UIDP/04466/2020 (ISTAR_Iscte); UIDB/04152/2020 (MagIC/NOVA IMS); UIDB/50021/2020 (INESC-ID); and UIDB/03126/2020 (CIES_Iscte).
dc.description.abstractSocial media platforms offer cost-effective digital marketing opportunities to monitor the market, create user communities, and spread positive opinions. They allow companies with fewer budgets, like startups, to achieve their goals and grow. In fact, studies found that startups with active engagement on those platforms have a higher chance of succeeding and receiving funding from venture capitalists. Our study explores how startups utilize social media platforms to foster social communities. We also aim to characterize the individuals within these communities. The findings from this study underscore the importance of social media for startups. We used network analysis and visualization techniques to investigate the communities of Portuguese IT startups through their Twitter data. For that, a social digraph has been created, and its visualization shows that each startup created a community with a degree of intersecting followers and following users. We characterized those users using user node-level measures. The results indicate that users who are followed by or follow Portuguese IT startups are of these types: “Person”, “Company,” “Blog,” “Venture Capital/Investor,” “IT Event,” “Incubators/Accelerators,” “Startup,” and “University.” Furthermore, startups follow users who post high volumes of tweets and have high popularity levels, while those who follow them have low activity and are unpopular. The attained results reveal the power of Twitter communities and offer essential insights for startups to consider when building their social media strategies. Lastly, this study proposes a methodological process for social media community analysis on platforms like Twitter.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent21
dc.format.extent2230052
dc.identifier.doi10.1007/s41109-023-00593-0
dc.identifier.issn2364-8228
dc.identifier.otherPURE: 72361487
dc.identifier.otherPURE UUID: 01d0c080-a2b8-48e2-b661-b3c13ba8009f
dc.identifier.otherScopus: 85171874691
dc.identifier.otherWOS: 001068545700001
dc.identifier.urihttp://hdl.handle.net/10362/158273
dc.identifier.urlhttps://github.com/arhpo-iscteiulpt/TwitterSocialDigraph.
dc.identifier.urlhttps://www.scopus.com/pages/publications/85171874691
dc.identifier.urlhttps://www.webofscience.com/wos/woscc/full-record/WOS:001068545700001
dc.language.isoeng
dc.peerreviewedyes
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04466%2F2020/PT
dc.relationInformation Sciences, Technologies and Architecture Research Center
dc.relationInformation Management Research Center
dc.relationInstituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa
dc.subjectTwitter Data
dc.subjectCommunities
dc.subjectSocial Media
dc.subjectStartups
dc.subjectGeneral
dc.subjectComputer Networks and Communications
dc.subjectComputational Mathematics
dc.subjectSDG 8 - Decent Work and Economic Growth
dc.titleUnlocking the power of Twitter communities for startupsen
dc.typejournal article
degois.publication.firstPage1
degois.publication.issue1
degois.publication.lastPage21
degois.publication.titleApplied Network Science
degois.publication.volume8
dspace.entity.typePublication
oaire.awardNumberUIDB/04466/2020
oaire.awardNumberUIDB/04152/2020
oaire.awardNumberUIDB/50021/2020
oaire.awardTitleInformation Sciences, Technologies and Architecture Research Center
oaire.awardTitleInformation Management Research Center
oaire.awardTitleInstituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04466%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04152%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50021%2F2020/PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
relation.isProjectOfPublication4e723999-508d-4056-8ac0-bcef12bbb9a9
relation.isProjectOfPublication3274bdb3-4dd3-4bbe-8f74-d34190081f87
relation.isProjectOfPublication1cf59518-2425-4137-a914-53580cbf4712
relation.isProjectOfPublication.latestForDiscovery1cf59518-2425-4137-a914-53580cbf4712

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