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Temporal network theory

Saramaki, Jari.

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Temporal network theory

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Temporal network theory/ edited by Petter Holme, Jari Saramaki.
其他作者:	Saramaki, Jari.
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	viii, 375 p. :ill. (some col.), digital ;24 cm.
內容註:	Modeling Frameworks and Tools -- Measures of Temporal Network Structure -- Mesoscopic Structures -- Epidemic Spreading -- Other Dynamic Processes.
Contained By:	Springer eBooks
標題:	System analysis. -
電子資源:	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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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.
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