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dc.contributor.authorEfstathiades, Haritonen
dc.contributor.authorAntoniades, Demetrisen
dc.contributor.authorPallis, George C.en
dc.contributor.authorDikaiakos, Marios D.en
dc.contributor.authorSzlavik, Z.en
dc.contributor.authorSips, R. -Jen
dc.contributor.editorAk R.en
dc.contributor.editorKarypis G.en
dc.contributor.editorXia Y.en
dc.contributor.editorHu X.T.en
dc.contributor.editorYu P.S.en
dc.contributor.editorJoshi J.en
dc.contributor.editorUngar L.en
dc.contributor.editorLiu L.en
dc.contributor.editorSato A.-H.en
dc.contributor.editorSuzumura T.en
dc.contributor.editorRachuri S.en
dc.contributor.editorGovindaraju R.en
dc.contributor.editorXu W.en
dc.creatorEfstathiades, Haritonen
dc.creatorAntoniades, Demetrisen
dc.creatorPallis, George C.en
dc.creatorDikaiakos, Marios D.en
dc.creatorSzlavik, Z.en
dc.creatorSips, R. -Jen
dc.description.abstractIn 2010 the popular paper by Kwak et al. [11] presented the first comprehensive study of Twitter as it appeared in 2009, using most of the Twitter network at the time. Since then, Twitter's popularity and usage has exploded, experiencing a 10-fold increase. As of 2015, it has more than 500 million users, out of which 316 million are active, i.e. logging into the service at least once a month.1 In this study we revisit the network observed by Kwak et al. to examine the changes exhibited in both the graph and the behavior of the users in it. Our results conclude to a denser network, showing an increase in the number of reciprocal edges, despite the fact that around 12.5% of the 2009 users have now left Twitter. However, the network's largest strongly connected component seems to be significantly decreasing, suggesting a movement of edges towards popular users. Furthermore, we observe numerous changes in the lists of influential Twitter users, having several accounts that where not popular in the past securing a position in the top-20 list as new entries. © 2016 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en
dc.sourceProceedings - 2016 IEEE International Conference on Big Data, Big Data 2016en
dc.source4th IEEE International Conference on Big Data, Big Data 2016en
dc.subjectOnline systemsen
dc.subjectSocial networking (online)en
dc.subjectOn-line social networksen
dc.subjectBig dataen
dc.subjectGraph analysisen
dc.subjectOnline Social Networks Evolutionen
dc.subjectRemoved Users Analysisen
dc.subjectSocial Mediaen
dc.subjectStrongly connected componenten
dc.subjectTwitter Graph Analysisen
dc.titleOnline social network evolution: Revisiting the Twitter graphen
dc.description.endingpage635 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied SciencesΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notes<p>Sponsors: Ciscoen
dc.description.noteset al.en
dc.description.notesIEEE Computer Societyen
dc.description.notesNational Science Foundation (NSF)en
dc.description.notesConference code: 126355</p>en
dc.contributor.orcidPallis, George C. [0000-0003-1815-5468]
dc.contributor.orcidDikaiakos, Marios D. [0000-0002-4350-6058]

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