MARC details
| 000 -LEADER |
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| fixed length control field |
03200cam a2200349 i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
37578 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
0000000000 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20240411192400.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
171003s2017 flu s 000 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2017015871 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781138032439 (hardback : alk. paper) |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
20045236 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
DLC |
| Language of cataloging |
eng |
| Transcribing agency |
DLC |
| Description conventions |
rda |
| Modifying agency |
DLC |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
pcc |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
TK5105.88815 |
| Item number |
.S4864 2017 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
302.30285 |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Zheng, Quan, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Social networks with rich edge semantics / |
| Statement of responsibility, etc. |
Quan Zheng, Queen's University Kingston, Ontario, Canada, David Skillicorn Queen's University Kingston, Ontario, Canada. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Boca Raton : |
| Name of producer, publisher, distributor, manufacturer |
Taylor & Francis, CRC Press, |
| Date of production, publication, distribution, manufacture, or copyright notice |
[2017] |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xx, 210 pages ; |
| Dimensions |
24 cm. |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
computer |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
online resource |
| Source |
rdacarrier |
| 490 0# - SERIES STATEMENT |
|---|
| Series statement |
Chapman & Hall/CRC data mining and knowledge discovery ; |
| Volume/sequential designation |
30 |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Social Networks with Rich Edge Semantics 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, and the modeling techniques are then applied to a range of datasets. Features introduces the reader to difficulties with current social network analysis, and the need for richer representations of relationships among nodes, including accounting for intensity, direction, type, positive/negative, and changing intensities over time presents a novel mechanism to allow social networks with qualitatively different kinds of relationships to be described and analyzed includes extensions to the important technique of spectral embedding, shows that they are mathematically well motivated and proves that their results are appropriates hows how to exploit embeddings to understand structures within social networks, including subgroups, positional significance, link or edge prediction, consistency of role in different contexts, and net flow of properties through a node illustrates the use of the approach for real-world problems for online social networks, criminal and drug smuggling networks, and networks where the nodes are themselves groups suitable for researchers and students in social network research, data science, statistical learning, and related areas, this book will help to provide a deeper understanding of real-world social networks. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references and index. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Semantic Web. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Social media. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Zheng, Quan |
| Titles and other words associated with a name |
(Telecommunications engineer), |
| Relator term |
author. |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://drive.google.com/file/d/11XmskSkeg8cDZwep2s7pBh3MyrSHjTzt/view?usp=sharing">https://drive.google.com/file/d/11XmskSkeg8cDZwep2s7pBh3MyrSHjTzt/view?usp=sharing</a> |
