Modeling socialness in dynamic social networks
Socialness refers to the ability to elicit social interaction and social links among people. It is a concept often associated with individuals. Although there are tangible benefits in socialness, there is little research in its modeling. In this paper, we study socialness as a property that can be a...
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sg-smu-ink.sis_research-24382018-06-25T02:30:26Z Modeling socialness in dynamic social networks HOANG, Tuan Anh LIM, Ee Peng ACHANANUPARP, Palakorn JIANG, Jing TEOW, Loo-Nin Socialness refers to the ability to elicit social interaction and social links among people. It is a concept often associated with individuals. Although there are tangible benefits in socialness, there is little research in its modeling. In this paper, we study socialness as a property that can be associated with items, beyond its traditional association with people. We aim to model an item's socialness as a quantitative measure based on the how popular the item is adopted by members of multiple communities. We propose two socialness models, namely Basic and Mutual Dependency, to compute item socialness based on different sets of principles. In developing the Mutual Dependency Model, we demonstrate that items' socialness can be related to the socialness of communities. Our model have been evaluated on a set of users and application items from a mobile social network. We also conducted experiments to study how socialness can be related to network effects such as homophily, social influence and friendship formation. 2011-01-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/1439 info:doi/10.1109/ASONAM.2011.91 http://doi.ieeecomputersociety.org/10.1109/ASONAM.2011.91 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Basic model Mobile social network Mutual dependency model Social links Socialness model Databases and Information Systems Numerical Analysis and Scientific Computing |
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Basic model Mobile social network Mutual dependency model Social links Socialness model Databases and Information Systems Numerical Analysis and Scientific Computing HOANG, Tuan Anh LIM, Ee Peng ACHANANUPARP, Palakorn JIANG, Jing TEOW, Loo-Nin Modeling socialness in dynamic social networks |
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Socialness refers to the ability to elicit social interaction and social links among people. It is a concept often associated with individuals. Although there are tangible benefits in socialness, there is little research in its modeling. In this paper, we study socialness as a property that can be associated with items, beyond its traditional association with people. We aim to model an item's socialness as a quantitative measure based on the how popular the item is adopted by members of multiple communities. We propose two socialness models, namely Basic and Mutual Dependency, to compute item socialness based on different sets of principles. In developing the Mutual Dependency Model, we demonstrate that items' socialness can be related to the socialness of communities. Our model have been evaluated on a set of users and application items from a mobile social network. We also conducted experiments to study how socialness can be related to network effects such as homophily, social influence and friendship formation. |
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text |
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HOANG, Tuan Anh LIM, Ee Peng ACHANANUPARP, Palakorn JIANG, Jing TEOW, Loo-Nin |
author_facet |
HOANG, Tuan Anh LIM, Ee Peng ACHANANUPARP, Palakorn JIANG, Jing TEOW, Loo-Nin |
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HOANG, Tuan Anh |
title |
Modeling socialness in dynamic social networks |
title_short |
Modeling socialness in dynamic social networks |
title_full |
Modeling socialness in dynamic social networks |
title_fullStr |
Modeling socialness in dynamic social networks |
title_full_unstemmed |
Modeling socialness in dynamic social networks |
title_sort |
modeling socialness in dynamic social networks |
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Institutional Knowledge at Singapore Management University |
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2011 |
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https://ink.library.smu.edu.sg/sis_research/1439 http://doi.ieeecomputersociety.org/10.1109/ASONAM.2011.91 |
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