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Evaluation of influential properties in twitter

dc.creatorRazis G., Anagnostopoulos I.en
dc.date.accessioned2023-01-31T09:51:18Z
dc.date.available2023-01-31T09:51:18Z
dc.date.issued2019
dc.identifier10.1109/SEEDA-CECNSM.2019.8908307
dc.identifier.isbn9781728147574
dc.identifier.urihttp://hdl.handle.net/11615/78476
dc.description.abstractIn this paper we describe a methodology for measuring the influence and impact of Twitter accounts, by combining their activity, social degree and disseminated content. Experimental results show that the accuracy of our methodology is comparable to an established commercial service, while the distribution of the assigned influence values and their properties are described by power law distributions. © 2019 IEEE.en
dc.language.isoenen
dc.source2019 4th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference, SEEDA-CECNSM 2019en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85076363828&doi=10.1109%2fSEEDA-CECNSM.2019.8908307&partnerID=40&md5=d46f73ea444979dab46aedb983a8f26b
dc.subjectComputer aided designen
dc.subjectSocial networking (online)en
dc.subjectCommercial servicesen
dc.subjectInfluence propertiesen
dc.subjectPower law distributionen
dc.subjectTwitteren
dc.subjectComputer networksen
dc.subjectInstitute of Electrical and Electronics Engineers Inc.en
dc.titleEvaluation of influential properties in twitteren
dc.typeconferenceItemen


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