| 000 | 00000cam u2200205 a 4500 | |
| 001 | 000045900419 | |
| 005 | 20170324093715 | |
| 008 | 170323s2016 enka b 001 0 eng d | |
| 010 | ▼a 2016439537 | |
| 020 | ▼a 1107076269 | |
| 020 | ▼a 9781107076266 | |
| 035 | ▼a (KERIS)REF000018216072 | |
| 040 | ▼a YDXCP ▼b eng ▼c YDXCP ▼e rda ▼d OCLCQ ▼d IND ▼d YDX ▼d CIN ▼d CHVBK ▼d OCLCF ▼d OUP ▼d DLC ▼d 211009 | |
| 050 | 0 0 | ▼a TK5105.5 ▼b .B37 2016 |
| 082 | 0 4 | ▼a 004.6 ▼2 23 |
| 084 | ▼a 004.6 ▼2 DDCK | |
| 090 | ▼a 004.6 ▼b B223n | |
| 100 | 1 | ▼a Barabási, Albert-László. |
| 245 | 1 0 | ▼a Network science / ▼c Albert-László Brabási ; with Márton Pósfai, data analysis and simulations. |
| 260 | ▼a Cambridge, United Kingdom : ▼b Cambridge University Press, ▼c c2016. | |
| 300 | ▼a xviii, 456 p. : ▼b ill. (some col.) ; ▼c 26 cm. | |
| 504 | ▼a Includes bibliographical references (p. [436]-452) and index. | |
| 520 | ▼a "Networks are everywhere, from the Internet, to social networks, and the genetic networks that determine our biological existence. Illustrated throughout in full colour, this pioneering textbook, spanning a wide range of topics from physics to computer science, engineering, economics and the social sciences, introduces network science to an interdisciplinary audience. From the origins of the six degrees of separation to explaining why networks are robust to random failures, the author explores how viruses like Ebola and H1N1 spread, and why it is that our friends have more friends than we do. Using numerous real-world examples, this innovatively designed text includes clear delineation between undergraduate and graduate level material"--Page [4] of cover. | |
| 650 | 0 | ▼a Computer networks. |
| 650 | 0 | ▼a Information networks. |
| 700 | 1 | ▼a Pósfai, Márton. |
| 945 | ▼a KLPA |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info/지정도서 | 청구기호 004.6 B223n | 등록번호 111769441 | 도서상태 지정도서 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
목차
Preface; Personal introduction; 1. Introduction; 2. Graph theory; 3. Random networks; 4. The scale-free property; 5. The Barabasi-Albert model; 6. Evolving networks; 7. Degree correlation; 8. Network robustness; 9. Communities; 10. Spreading phenomena; Index.
정보제공 :
