Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/33369
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dc.contributor.authorGuzmán, Erick Méndezen_UK
dc.contributor.authorZhang, Ziqien_UK
dc.contributor.authorAhmed, Wasimen_UK
dc.date.accessioned2021-10-06T00:00:16Z-
dc.date.available2021-10-06T00:00:16Z-
dc.date.issued2021-02-18en_UK
dc.identifier.urihttp://hdl.handle.net/1893/33369-
dc.description.abstractPurpose The purpose of this work is to study how different stakeholders of a football club engage with interactions online through Twitter. It analyses the football club’s Twitter network to discover influential actors and the topic of interest in their online communication. Design/methodology/approach The authors analysed the social networks derived from over two million tweets collected during football matches played by Manchester United. The authors applied social network analysis to discover influencers and sub-communities and performed content analysis on the most popular tweets of the prominent influencers. Findings Sub-communities can be formed around current affairs that are irrelevant to football, perhaps due to opportunistic attempts of using the large networks and massive attention during football matches to disseminate information. Furthermore, the popularity of tweets featuring different topics depends on the types of influencers involved. Practical implications The methods can help football clubs develop a deeper understanding of their online social communities. The findings can also inform football clubs on how to optimise their communication strategies by using various influencers. Originality/value Compared to previous research, the authors discovered a wide range of influencers and denser networks characterised by a smaller number of large clusters. Interestingly, this study also found that bots appeared to become influential within the network.en_UK
dc.language.isoenen_UK
dc.publisherEmeralden_UK
dc.relationGuzmán EM, Zhang Z & Ahmed W (2021) Towards understanding a football club's social media network: an exploratory case study of Manchester United. Information Discovery and Delivery, 49 (1), pp. 71-83. https://doi.org/10.1108/idd-08-2020-0106en_UK
dc.rightsPublisher policy allows this work to be made available in this repository. Published in Information Discovery and Delivery by Emerald. Guzmán, E.M., Zhang, Z. and Ahmed, W. (2021), "Towards understanding a football club’s social media network: an exploratory case study of Manchester United", Information Discovery and Delivery, Vol. 49 No. 1, pp. 71-83. https://doi.org/10.1108/IDD-08-2020-0106. This author accepted manuscript is deposited under a Creative Commons Attribution Non-commercial 4.0 International (CC BY-NC) licence. This means that anyone may distribute, adapt, and build upon the work for non-commercial purposes, subject to full attribution. If you wish to use this manuscript for commercial purposes, please contact permissions@emerald.comen_UK
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/en_UK
dc.subjectsocial mediaen_UK
dc.subjectnetwork analysisen_UK
dc.subjectManchester Uniteden_UK
dc.subjectfootballen_UK
dc.subjectcontent analysisen_UK
dc.titleTowards understanding a football club's social media network: an exploratory case study of Manchester Uniteden_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1108/idd-08-2020-0106en_UK
dc.citation.jtitleInformation Discovery and Deliveryen_UK
dc.citation.issn2398-6247en_UK
dc.citation.issn2398-6247en_UK
dc.citation.volume49en_UK
dc.citation.issue1en_UK
dc.citation.spage71en_UK
dc.citation.epage83en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.contributor.funderNewcastle Universityen_UK
dc.author.emailwasim.ahmed@stir.ac.uken_UK
dc.citation.date23/01/2021en_UK
dc.contributor.affiliationUniversity of Sheffielden_UK
dc.contributor.affiliationUniversity of Sheffielden_UK
dc.contributor.affiliationNewcastle Universityen_UK
dc.identifier.isiWOS:000613477500001en_UK
dc.identifier.scopusid2-s2.0-85099767250en_UK
dc.identifier.wtid1758972en_UK
dc.contributor.orcid0000-0001-8923-1865en_UK
dc.date.accepted2020-11-19en_UK
dcterms.dateAccepted2020-11-19en_UK
dc.date.filedepositdate2021-10-05en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionAMen_UK
local.rioxx.authorGuzmán, Erick Méndez|en_UK
local.rioxx.authorZhang, Ziqi|en_UK
local.rioxx.authorAhmed, Wasim|0000-0001-8923-1865en_UK
local.rioxx.projectProject ID unknown|Newcastle University|http://dx.doi.org/10.13039/501100000774en_UK
local.rioxx.freetoreaddate2021-10-05en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by-nc/4.0/|2021-10-05|en_UK
local.rioxx.filenameGuzman-etal-IDD-2021.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2398-6247en_UK
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