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Temporal network theory

Saramaki, Jari.

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Temporal network theory

Record Type:	Electronic resources : Monograph/item
Title/Author:	Temporal network theory/ edited by Petter Holme, Jari Saramaki.
other author:	Saramaki, Jari.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	viii, 375 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Modeling Frameworks and Tools -- Measures of Temporal Network Structure -- Mesoscopic Structures -- Epidemic Spreading -- Other Dynamic Processes.
Contained By:	Springer eBooks
Subject:	System analysis. -
Online resource:	https://doi.org/10.1007/978-3-030-23495-9
ISBN:	9783030234959

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

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

545616
System analysis.

LC Class. No.: QA402 / .T467 2019

Dewey Class. No.: 621

Temporal network theory
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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 545616
650 0 $a Computational complexity. $3 523870
650 1 4 $a Applications of Graph Theory and Complex Networks. $3 3134760
650 2 4 $a Computational Social Sciences. $3 3220598
650 2 4 $a Complexity. $3 893807
650 2 4 $a Complex Systems. $3 1566441
700 1 $a Saramaki, Jari. $3 3454077
700 1 $a Holme, Petter. $3 3264806
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830 0 $a Computational social sciences. $3 2056273
856 4 0 $u https://doi.org/10.1007/978-3-030-23495-9
950 $a Physics and Astronomy (Springer-11651)