DC FieldValueLanguage
dc.contributor.authorNtalianis, Klimis-
dc.contributor.authorAnastasopoulou, Vasiliki-
dc.contributor.authorTsapatsoulis, Nicolas-
dc.date.accessioned2024-12-16T09:28:13Z-
dc.date.available2024-12-16T09:28:13Z-
dc.date.issued2019-08-01-
dc.identifierscopus-85075177040-
dc.identifier.isbn978-1-7281-3024-8-
dc.identifier.other85075177040-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2921-
dc.description.abstractThe central community of social networks, usually represented through the highest degree k-core of the corresponding graph, is proposed here as a compact representation of large social networks. We show that the central community of egocentric social media networks, such as the ego networks on Twitter and Instagram, tell us much more about the actual influence of the ego than the whole egocentric network itself. We also propose a novel genetic algorithm for the identification of central community of egocentric social networks and we examine the importance of the proper initialisation of this algorithm. The actual Twitter ego networks we used in our experiments along with the corresponding Python code are made publicly available for anyone who wishes to use them.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofProceedings on the IEEE 17th International Conference on Dependable, Autonomic and Secure Computing, IEEE 17th International Conference on Pervasive Intelligence and Computing, IEEE 5th International Conference on Cloud and Big Data Computing, 4th Cyber Science and Technology Congress, (DASC-PiCom-CBDCom-CyberSciTech 2019)en_US
dc.subjectCommunity detectionen_US
dc.subjectDegeneracyen_US
dc.subjectGenetic algorithmsen_US
dc.subjectGraph partitioningen_US
dc.subjectK-coreen_US
dc.subjectSocial networksen_US
dc.subjectTwitter ego networksen_US
dc.titleThe central community of twitter ego-networks as a means for fake influencer detectionen_US
dc.typeConference Paperen_US
dc.relation.conference2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), 5-8 August 2019, Fukuoka, Japanen_US
dc.identifier.doi10.1109/DASC/PiCom/CBDCom/CyberSciTech.2019.00042en_US
dc.identifier.scopus2-s2.0-85075177040-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage177en_US
dc.identifier.epage184en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusnot verifieden_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeConference Paper-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου
CORE Recommender
Show simple item record

SCOPUSTM   
Citations

4
checked on Dec 17, 2024

Page view(s)

5
checked on Dec 22, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.