Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/11939
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSayın, Burcuen_US
dc.contributor.authorŞahin, Serapen_US
dc.date.accessioned2022-01-31T11:33:17Z-
dc.date.available2022-01-31T11:33:17Z-
dc.date.issued2017-
dc.identifier.urihttps://hdl.handle.net/11147/11939-
dc.descriptionThe Sixth International Conference on Data Analytics, November 12 - 16, 2017, Barcelona, Spainen_US
dc.description.abstractAnalyzing and modelling the spreading of any information through a social network (SN) is an important issue in social network analysis. Proposed solutions for this issue do not only help observing the information diffusion but also serve as a valuable resource for predicting the characteristics of the network, developing network-specific advertising etc. Up-to-date approaches include probabilistic analysis of information spreading and the information cascade models. In this paper, we propose a hybrid model which considers an information spreading model, combines it with cascades and social behavior analysis. We propose a new hybrid usage approach to represent a real-world modelling for information spreading process.en_US
dc.language.isoenen_US
dc.publisherInternational Academy, Research, and Industry Association (IARIA)en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectSocial network analysisen_US
dc.subjectInformation spreadingen_US
dc.subjectInformation cascadesen_US
dc.titleA novel approach to information spreading models for social networksen_US
dc.typeConference Objecten_US
dc.authorid0000-0002-8859-8435en_US
dc.institutionauthorSayın, Burcuen_US
dc.institutionauthorŞahin, Serapen_US
dc.departmentİzmir Institute of Technology. Computer Engineeringen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conferenceThe Sixth International Conference on Data Analyticsen_US
dc.relation.publicationData Analytics 2017 The Sixth International Conference on Data Analyticsen_US
dc.contributor.affiliation01. Izmir Institute of Technologyen_US
dc.contributor.affiliation01. Izmir Institute of Technologyen_US
dc.description.startpage23en_US
dc.description.endpage27en_US
item.openairetypeConference Object-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextopen-
crisitem.author.dept01. Izmir Institute of Technology-
crisitem.author.dept03.04. Department of Computer Engineering-
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Files in This Item:
File Description SizeFormat 
Approach_Information.pdfConference Object457.61 kBAdobe PDFView/Open
Show simple item record



CORE Recommender

Page view(s)

17,364
checked on Mar 25, 2024

Download(s)

48
checked on Mar 25, 2024

Google ScholarTM

Check





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