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A guide to temporal networks

Lambiotte, Renaud.

A guide to temporal networks

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A guide to temporal networksNaoki Masuda, Renaud Lambiotte.
作者:	Masuda, Naoki,
其他作者:	Lambiotte, Renaud.
出版者:	London :World Scientific Publishing Europe,c2016.
面頁冊數:	1 online resource (250 p.) :ill. (some col.)
標題:	System analysis.
電子資源:	http://www.worldscientific.com/worldscibooks/10.1142/Q0033#t=toc
ISBN:	9781786341150$q(electronic bk.)

A guide to temporal networks
Masuda, Naoki,1976-

A guide to temporal networks[electronic resource] /Naoki Masuda, Renaud Lambiotte. - 1st ed. - London :World Scientific Publishing Europe,c2016. - 1 online resource (250 p.) :ill. (some col.) - Series on complexity science,vol. 41755-7453 ;. - World Scientific series on complexity science ;v. 5..

Includes bibliographical references (p. 219-234) and index.

"Network science offers a powerful language to represent and study complex systems composed of interacting elements -- from the Internet to social and biological systems. In its standard formulation, this framework relies on the assumption that the underlying topology is static, or changing very slowly as compared to dynamical processes taking place on it, e.g., epidemic spreading or navigation. Fuelled by the increasing availability of longitudinal networked data, recent empirical observations have shown that this assumption is not valid in a variety of situations. Instead, often the network itself presents rich temporal properties and new tools are required to properly describe and analyse their behaviour. A Guide to Temporal Networks presents recent theoretical and modelling progress in the emerging field of temporally varying networks, and provides connections between different areas of knowledge required to address this multi-disciplinary subject. After an introduction to key concepts on networks and stochastic dynamics, the authors guide the reader through a coherent selection of mathematical and computational tools for network dynamics. Perfect for students and professionals, this book is a gateway to an active field of research developing between the disciplines of applied mathematics, physics and computer science, with applications in others including social sciences, neuroscience and biology"--

Electronic reproduction.
Singapore :
World Scientific,
[2016]

ISBN: 9781786341150$q(electronic bk.)

LCCN: 2016015327Subjects--Topical Terms:

182013
System analysis.

LC Class. No.: QA402 / .M3585 2016

Dewey Class. No.: 003

A guide to temporal networks
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300 $a 1 online resource (250 p.) : $b ill. (some col.)
490 1 $a Series on complexity science, $x 1755-7453 ; $v vol. 4
504 $a Includes bibliographical references (p. 219-234) and index.
520 $a "Network science offers a powerful language to represent and study complex systems composed of interacting elements -- from the Internet to social and biological systems. In its standard formulation, this framework relies on the assumption that the underlying topology is static, or changing very slowly as compared to dynamical processes taking place on it, e.g., epidemic spreading or navigation. Fuelled by the increasing availability of longitudinal networked data, recent empirical observations have shown that this assumption is not valid in a variety of situations. Instead, often the network itself presents rich temporal properties and new tools are required to properly describe and analyse their behaviour. A Guide to Temporal Networks presents recent theoretical and modelling progress in the emerging field of temporally varying networks, and provides connections between different areas of knowledge required to address this multi-disciplinary subject. After an introduction to key concepts on networks and stochastic dynamics, the authors guide the reader through a coherent selection of mathematical and computational tools for network dynamics. Perfect for students and professionals, this book is a gateway to an active field of research developing between the disciplines of applied mathematics, physics and computer science, with applications in others including social sciences, neuroscience and biology"-- $c Provided by publisher.
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