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Conference Paper: Characterizing cascade dynamics in a microblogging system

TitleCharacterizing cascade dynamics in a microblogging system
Authors
Issue Date2014
PublisherIEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000104
Citation
The 2014 IEEE International Conference on Communications (ICC 2014), Sydney, Australia, 10-14 June 2014. In IEEE International Conference on Communications, 2014 How to Cite?
AbstractOnline microblogging sites have become increasingly important platforms for information diffusion in today’s world, where users post short messages and follow various messages posted by people that they are interested in. It is intriguing to qualitatively study the temporal dynamics of an information cascade in a microblogging system, in terms of the number of users influenced at any given time, which may provide valuable input to facilitate emerging applications such as online advertising and content distribution. In this paper, we model information diffusion in a microblogging network as an agedependent branching process, based on practical observations from Tencent Weibo, a popular microblogging site in China. This model enables careful characterization of the diffusion topology, the different delays for users to respond to new information, and the evolution of the size of the information cascade over time. We derive the expected cascade size at any time. We validate our model based on Tencent Weibo traces, and demonstrate its effectiveness in capturing information diffusion dynamics in the real world.
Persistent Identifierhttp://hdl.handle.net/10722/201096
ISSN

 

DC FieldValueLanguage
dc.contributor.authorShi, Sen_US
dc.contributor.authorWang, Zen_US
dc.contributor.authorWu, Cen_US
dc.contributor.authorLin, Xen_US
dc.date.accessioned2014-08-21T07:13:33Z-
dc.date.available2014-08-21T07:13:33Z-
dc.date.issued2014en_US
dc.identifier.citationThe 2014 IEEE International Conference on Communications (ICC 2014), Sydney, Australia, 10-14 June 2014. In IEEE International Conference on Communications, 2014en_US
dc.identifier.issn1550-3607-
dc.identifier.urihttp://hdl.handle.net/10722/201096-
dc.description.abstractOnline microblogging sites have become increasingly important platforms for information diffusion in today’s world, where users post short messages and follow various messages posted by people that they are interested in. It is intriguing to qualitatively study the temporal dynamics of an information cascade in a microblogging system, in terms of the number of users influenced at any given time, which may provide valuable input to facilitate emerging applications such as online advertising and content distribution. In this paper, we model information diffusion in a microblogging network as an agedependent branching process, based on practical observations from Tencent Weibo, a popular microblogging site in China. This model enables careful characterization of the diffusion topology, the different delays for users to respond to new information, and the evolution of the size of the information cascade over time. We derive the expected cascade size at any time. We validate our model based on Tencent Weibo traces, and demonstrate its effectiveness in capturing information diffusion dynamics in the real world.-
dc.languageengen_US
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 Communicationsen_US
dc.rightsIEEE International Conference on Communications. Copyright © IEEE.-
dc.rights©2014 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleCharacterizing cascade dynamics in a microblogging systemen_US
dc.typeConference_Paperen_US
dc.identifier.emailWu, C: cwu@cs.hku.hken_US
dc.identifier.authorityWu, C=rp01397en_US
dc.description.naturepostprint-
dc.identifier.hkuros232125en_US
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 140826-

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