| 000 -LEADER |
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| fixed length control field |
a |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
191105b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781107172876 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
511.5 |
| Item number |
HOF |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Hofstad, Remco van der |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Random graphs and complex networks |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Name of publisher, distributor, etc |
Cambridge University Press |
| Date of publication, distribution, etc |
2016 |
| Place of publication, distribution, etc |
Cambridge |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xvi, 321 p. |
| Other physical details |
ill. |
| Dimensions |
26 cm. |
| 365 ## - TRADE PRICE |
|---|
| Price amount |
44.99 |
| Price type code |
GBP |
| Unit of pricing |
4148.08 |
| 490 ## - SERIES STATEMENT |
|---|
| Series statement |
Cambridge series in statistical and probabilistic mathematics |
| Volume number/sequential designation |
43 |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
This rigorous introduction to network science presents random graphs as models for real-world networks. Such networks have distinctive empirical properties and a wealth of new models have emerged to capture them. Classroom tested for over ten years, this text places recent advances in a unified framework to enable systematic study. Designed for a master's-level course, where students may only have a basic background in probability, the text covers such important preliminaries as convergence of random variables, probabilistic bounds, coupling, martingales, and branching processes. Building on this base - and motivated by many examples of real-world networks, including the Internet, collaboration networks, and the World Wide Web - it focuses on several important models for complex networks and investigates key properties, such as the connectivity of nodes. Numerous exercises allow students to develop intuition and experience in working with the models. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Random graphs |
|
|---|
| Topical term or geographic name as entry element |
Notations |
|
|---|
| Topical term or geographic name as entry element |
Network statistic |
|
|---|
| Topical term or geographic name as entry element |
Graph models |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
Books |