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dc.contributor.authorSayın, Burcuen_US
dc.contributor.authorŞahin, Serapen_US
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.publisherInternational Academy, Research, and Industry Association (IARIA)en_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.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
item.fulltextWith Fulltext-
item.openairetypeConference Object- Izmir Institute of Technology- Department of Computer Engineering-
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
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