| 000 | 02130nam a22003617a 4500 | ||
|---|---|---|---|
| 001 | 102707 | ||
| 003 | KnowledgeUnlatched | ||
| 005 | 20210303105100.0 | ||
| 006 | m o d | ||
| 007 | cr u|||||||||| | ||
| 008 | 210129p20172019flu o u00| u eng d | ||
| 037 | _5BiblioBoard | ||
| 245 | 0 | 0 |
_aSocial Networks with Rich Edge Semantics _cQuan Zheng, David Skillicorn. |
| 020 | _a9781138032439 | ||
| 029 | 1 | _ahttps://library.biblioboard.com/ext/api/media/946af449-1a4c-467d-a400-0f35921ee596/assets/thumbnail.jpg | |
| 040 |
_aScCtBLL _cScCtBLL |
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| 100 | 1 |
_aZheng, Quan _eauthor. |
|
| 506 | 0 |
_aAccess copy available to the general public. _fUnrestricted _2star |
|
| 700 | 1 |
_aSkillicorn, David _eeditor. |
|
| 264 | 1 | _bCRC Press, | |
| 300 | _a1 online resource (231 p.) | ||
| 520 | _a"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." | ||
| 588 | 0 | _aDescription based on print version record. | |
| 590 | _aKU Select 2018: STEM Backlist Books | ||
| 650 | 7 |
_aComputers / Computer Science _2bisacsh |
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| 650 | 0 | _aComputers | |
| 655 | 0 | _aElectronic books. | |
| 758 |
_iIs found in: _aKnowledge Unlatched _1https://openresearchlibrary.org/module/2774bc74-146a-484f-a7ba-ab1d6a09bbfb |
||
| 856 | 4 | 0 |
_uhttps://openresearchlibrary.org/content/946af449-1a4c-467d-a400-0f35921ee596 _zView this content on Open Research Library. _70 |
| 999 |
_c33534 _d33534 |
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