Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/50475
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dc.contributor.authorLi, Hui.
dc.date.accessioned2012-06-06T02:09:09Z
dc.date.available2012-06-06T02:09:09Z
dc.date.copyright2012en_US
dc.date.issued2012
dc.identifier.citationLi, H. (2012). iMASON : towards influence-driven multi-level analysis of online social networks. Doctoral thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/50475
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_US
dc.format.extent243 p.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrievalen_US
dc.titleiMASON : towards influence-driven multi-level analysis of online social networksen_US
dc.typeThesis
dc.contributor.supervisorSourav Saha Bhowmicken_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.description.degreeDoctor of Philosophy (SCE)en_US
dc.contributor.researchCentre for Advanced Information Systemsen_US
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