Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/50475
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dc.contributor.authorLi, Huien
dc.date.accessioned2012-06-06T02:09:09Zen
dc.date.available2012-06-06T02:09:09Zen
dc.date.copyright2012en
dc.date.issued2012en
dc.identifier.citationLi, H. (2012). iMASON : towards influence-driven multi-level analysis of online social networks. Doctoral thesis, Nanyang Technological University, Singapore.en
dc.identifier.urihttps://hdl.handle.net/10356/50475en
dc.description.abstractSocial network is a social structure of nodes that are tied by various kinds of relationships, such as kinships, friends, web links, colleagues, citation links, etc. Recently, large on-line social networks have become very popular among web users. A key feature of many online social networks is that they are driven by social influence between users. Specifically, the structural and semantic properties of individuals, communities and network can be traced back to the social influence effect. Hence, studying the social influence between users in a network is of great importance in many applications such as viral marketing, online advertising, advanced web architecture design, etc.en
dc.format.extent243 p.en
dc.language.isoenen
dc.subjectDRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrievalen
dc.titleiMASON : towards influence-driven multi-level analysis of online social networksen
dc.typeThesisen
dc.contributor.supervisorSourav Saha Bhowmicken
dc.contributor.schoolSchool of Computer Engineeringen
dc.description.degreeDOCTOR OF PHILOSOPHY (SCE)en
dc.contributor.researchCentre for Advanced Information Systemsen
dc.identifier.doi10.32657/10356/50475en
item.grantfulltextopen-
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Appears in Collections:SCSE Theses
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