國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Temporal network theory

Holme, Petter.

Temporal network theory

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Temporal network theoryedited by Petter Holme, Jari Saramaki.
其他作者:	Holme, Petter.
出版者:	Cham :Springer International Publishing :2019.
面頁冊數:	viii, 375 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	System analysis.
電子資源:	https://doi.org/10.1007/978-3-030-23495-9
ISBN:	9783030234959$q(electronic bk.)

Temporal network theory
Temporal network theory[electronic resource] /edited by Petter Holme, Jari Saramaki. - Cham :Springer International Publishing :2019. - viii, 375 p. :ill. (some col.), digital ;24 cm. - Computational social sciences,2509-9574. - Computational social sciences..

Modeling Frameworks and Tools -- Measures of Temporal Network Structure -- Mesoscopic Structures -- Epidemic Spreading -- Other Dynamic Processes.

This book focuses on the theoretical side of temporal network research and gives an overview of the state of the art in the field. Curated by two pioneers in the field who have helped to shape it, the book contains contributions from many leading researchers. Temporal networks fill the border area between network science and time-series analysis and are relevant for the modeling of epidemics, optimization of transportation and logistics, as well as understanding biological phenomena. Network theory has proven, over the past 20 years to be one of the most powerful tools for the study and analysis of complex systems. Temporal network theory is perhaps the most recent significant development in the field in recent years, with direct applications to many of the "big data" sets. This monograph will appeal to students, researchers and professionals alike interested in theory and temporal networks, a field that has grown tremendously over the last decade.

ISBN: 9783030234959$q(electronic bk.)

Standard No.: 10.1007/978-3-030-23495-9doiSubjects--Topical Terms:

182013
System analysis.

LC Class. No.: QA402 / .T467 2019

Dewey Class. No.: 621

Temporal network theory
LDR:02156nmm a2200349 a 4500 001 568199
003 DE-He213
005 20200131150231.0
006 m d
007 cr nn 008maaau
008 200611s2019 sz s 0 eng d
020 $a 9783030234959$q(electronic bk.)
020 $a 9783030234942$q(paper)
024 7 $a 10.1007/978-3-030-23495-9 $2 doi
035 $a 978-3-030-23495-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QA402 $b .T467 2019
072 7 $a PHU $2 bicssc
072 7 $a SCI064000 $2 bisacsh
072 7 $a PHU $2 thema
072 7 $a PBKD $2 thema
082 0 4 $a 621 $2 23
090 $a QA402 $b .T288 2019
245 0 0 $a Temporal network theory $h [electronic resource] / $c edited by Petter Holme, Jari Saramaki.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a viii, 375 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Computational social sciences, $x 2509-9574
505 0 $a Modeling Frameworks and Tools -- Measures of Temporal Network Structure -- Mesoscopic Structures -- Epidemic Spreading -- Other Dynamic Processes.
520 $a This book focuses on the theoretical side of temporal network research and gives an overview of the state of the art in the field. Curated by two pioneers in the field who have helped to shape it, the book contains contributions from many leading researchers. Temporal networks fill the border area between network science and time-series analysis and are relevant for the modeling of epidemics, optimization of transportation and logistics, as well as understanding biological phenomena. Network theory has proven, over the past 20 years to be one of the most powerful tools for the study and analysis of complex systems. Temporal network theory is perhaps the most recent significant development in the field in recent years, with direct applications to many of the "big data" sets. This monograph will appeal to students, researchers and professionals alike interested in theory and temporal networks, a field that has grown tremendously over the last decade.
650 0 $a System analysis. $3 182013
650 0 $a Computational complexity. $3 185313
650 1 4 $a Applications of Graph Theory and Complex Networks. $3 759901
650 2 4 $a Computational Social Sciences. $3 773096
650 2 4 $a Complexity. $3 274400
650 2 4 $a Complex Systems. $3 558544
700 1 $a Holme, Petter. $3 795003
700 1 $a Saramaki, Jari. $3 853939
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Computational social sciences. $3 676494
856 4 0 $u https://doi.org/10.1007/978-3-030-23495-9
950 $a Physics and Astronomy (Springer-11651)