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Conference Paper: Modeling video viewing and sharing behaviors in online social network

TitleModeling video viewing and sharing behaviors in online social network
Authors
KeywordsOnline social network
Information diffusion
Issue Date2015
PublisherIEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000104
Citation
The 2015 IEEE International Conference on Communications (ICC), London, UK., 8-12 June 2015. In Conference Proceedings, 2015, p. 1244-1249 How to Cite?
AbstractBoth video viewing and sharing behaviors in online social networks are of great importance for optimizing traffic engineering and understanding the information diffusion mechanism. However, few models have been proposed to characterize these two behaviors together. In this paper, we first collect the sitewide viewing and sharing statistics of videos in a popular OSN in China, and propose a new model, VSM, to capture the temporal dynamics of video viewing and sharing behaviors during the diffusion process. Specifically, our model can handle the external influence and periodicity properly. The experiments based on the collected dataset demonstrate our VSM can outperform other alternative models in terms of explanatory power and prediction accuracy.
Persistent Identifierhttp://hdl.handle.net/10722/217386
ISBN
ISSN

 

DC FieldValueLanguage
dc.contributor.authorLong, Y-
dc.contributor.authorLi, VOK-
dc.contributor.authorNiu, G-
dc.date.accessioned2015-09-18T05:58:07Z-
dc.date.available2015-09-18T05:58:07Z-
dc.date.issued2015-
dc.identifier.citationThe 2015 IEEE International Conference on Communications (ICC), London, UK., 8-12 June 2015. In Conference Proceedings, 2015, p. 1244-1249-
dc.identifier.isbn978-1-4673-6432-4-
dc.identifier.issn1550-3607-
dc.identifier.urihttp://hdl.handle.net/10722/217386-
dc.description.abstractBoth video viewing and sharing behaviors in online social networks are of great importance for optimizing traffic engineering and understanding the information diffusion mechanism. However, few models have been proposed to characterize these two behaviors together. In this paper, we first collect the sitewide viewing and sharing statistics of videos in a popular OSN in China, and propose a new model, VSM, to capture the temporal dynamics of video viewing and sharing behaviors during the diffusion process. Specifically, our model can handle the external influence and periodicity properly. The experiments based on the collected dataset demonstrate our VSM can outperform other alternative models in terms of explanatory power and prediction accuracy.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000104-
dc.relation.ispartofIEEE International Conference on Communications-
dc.rightsIEEE International Conference on Communications. Copyright © IEEE.-
dc.rights©2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.subjectOnline social network-
dc.subjectInformation diffusion-
dc.titleModeling video viewing and sharing behaviors in online social network-
dc.typeConference_Paper-
dc.identifier.emailLong, Y: yilong@eee.hku.hk-
dc.identifier.emailLi, VOK: vli@eee.hku.hk-
dc.identifier.emailNiu, G: gilniu@eee.hku.hk-
dc.identifier.authorityLi, VOK=rp00150-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1109/ICC.2015.7248493-
dc.identifier.hkuros254292-
dc.identifier.spage1244-
dc.identifier.epage1249-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 151119-

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