1004819.pdf
This book introduces a new mechanism for representing social networks in which pairwise relationships can be drawn from a range of realistic possibilities, including different types of relationships, different strengths in the directions of a pair, positive and negative relationships, and relationsh...
| Γλώσσα: | English |
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Taylor & Francis
2019
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oapen-20.500.12657-25275 |
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oapen-20.500.12657-252752023-06-28T13:07:28Z Social Networks with Rich Edge Semantics Zheng, Quan Skillicorn, David Computer Science bic Book Industry Communication::U Computing & information technology::UB Information technology: general issues::UBW Internet: general works This book introduces a new mechanism for representing social networks in which pairwise relationships can be drawn from a range of realistic possibilities, including different types of relationships, different strengths in the directions of a pair, positive and negative relationships, and relationships whose intensities change with time. For each possibility, the book shows how to model the social network using spectral embedding. It also shows how to compose the techniques so that multiple edge semantics can be modeled together. The modeling techniques are then applied to a range of datasets to show how they can produce results that are useful in understanding real-world social networks. 2019-04-11 23:55 2020-03-17 03:00:34 2020-04-01T10:32:50Z 2020-04-01T10:32:50Z 2017 book 1004819 OCN: 993984779 9781315390611 9780367573256 9781315390628 9781138032439 http://library.oapen.org/handle/20.500.12657/25275 eng application/pdf n/a 1004819.pdf Taylor & Francis Routledge 10.1201/9781315390628 10.1201/9781315390628 7b3c7b10-5b1e-40b3-860e-c6dd5197f0bb b818ba9d-2dd9-4fd7-a364-7f305aef7ee9 9781315390611 9780367573256 9781315390628 9781138032439 Knowledge Unlatched (KU) Routledge 102707 KU Select 2018: STEM Backlist Books Knowledge Unlatched open access |
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OAPEN |
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English |
| description |
This book introduces a new mechanism for representing social networks in which pairwise relationships can be drawn from a range of realistic possibilities, including different types of relationships, different strengths in the directions of a pair, positive and negative relationships, and relationships whose intensities change with time. For each possibility, the book shows how to model the social network using spectral embedding. It also shows how to compose the techniques so that multiple edge semantics can be modeled together. The modeling techniques are then applied to a range of datasets to show how they can produce results that are useful in understanding real-world social networks. |
| title |
1004819.pdf |
| spellingShingle |
1004819.pdf |
| title_short |
1004819.pdf |
| title_full |
1004819.pdf |
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| publisher |
Taylor & Francis |
| publishDate |
2019 |
| _version_ |
1771297498224132096 |
