iMASON : towards influence-driven multi-level analysis of online social networks
Social 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...
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sg-ntu-dr.10356-504752023-03-04T00:41:24Z iMASON : towards influence-driven multi-level analysis of online social networks Li, Hui Sourav Saha Bhowmick School of Computer Engineering Centre for Advanced Information Systems DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval Social 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. DOCTOR OF PHILOSOPHY (SCE) 2012-06-06T02:09:09Z 2012-06-06T02:09:09Z 2012 2012 Thesis Li, H. (2012). iMASON : towards influence-driven multi-level analysis of online social networks. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/50475 10.32657/10356/50475 en 243 p. application/pdf |
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DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval Li, Hui iMASON : towards influence-driven multi-level analysis of online social networks |
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Social 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. |
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Sourav Saha Bhowmick |
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Sourav Saha Bhowmick Li, Hui |
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Theses and Dissertations |
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Li, Hui |
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Li, Hui |
title |
iMASON : towards influence-driven multi-level analysis of online social networks |
title_short |
iMASON : towards influence-driven multi-level analysis of online social networks |
title_full |
iMASON : towards influence-driven multi-level analysis of online social networks |
title_fullStr |
iMASON : towards influence-driven multi-level analysis of online social networks |
title_full_unstemmed |
iMASON : towards influence-driven multi-level analysis of online social networks |
title_sort |
imason : towards influence-driven multi-level analysis of online social networks |
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2012 |
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https://hdl.handle.net/10356/50475 |
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