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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.
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1
Social Networks with Rich Edge Semantics
2020, Taylor & Francis Group
in English
0367573253 9780367573256
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2
Social Networks with Rich Edge Semantics
2017, Taylor & Francis Group
in English
1315390590 9781315390598
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3
Social Networks with Rich Edge Semantics
2017, Taylor & Francis Group
in English
1315390604 9781315390604
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WorldCat
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4 |
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5
Social Networks with Rich Edge Semantics
2017, Taylor & Francis Group
in English
1315390620 9781315390628
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6
Social Networks with Rich Edge Semantics
2017, Taylor & Francis Group
in English
1315390612 9781315390611
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7
Social Networks with Rich Edge Semantics
Publish date unknown, Taylor & Francis
in English
1138032433 9781138032439
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8
Social Networks with Rich Edge Semantics
Publish date unknown, Taylor & Francis
in English
1138032433 9781138032439
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Book Details
Edition Notes
Open Access Unrestricted online access
Knowledge Unlatched
Creative Commons https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
English
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