大葉大學圖書館 |

A guide to temporal networks[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	003
書名/作者:	A guide to temporal networks/ Naoki 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.
標題:	Computational complexity.
標題:	Social networks - Mathematical models.
ISBN:	9781786341150
書目註:	Includes bibliographical references (p. 219-234) and index.
摘要、提要註:	"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"--
電子資源:	http://www.worldscientific.com/worldscibooks/10.1142/Q0033#t=toc

A guide to temporal networks[electronic resource] /
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

LCCN: 2016015327Subjects--Topical Terms:

176498
System analysis.

LC Class. No.: QA402 / .M3585 2016

Dewey Class. No.: 003

A guide to temporal networks[electronic resource] /
LDR:02540cmm a2200313Ia 4500 001 491228
003 WSP
005 20160913095126.0
006 m o d
007 cr cnu---unuuu
008 210127s2016 enka ob 001 0 eng d
010 $a 2016015327
020 $a 9781786341150 $q (electronic bk.)
020 $z 9781786341143 $q (hbk.)
020 $z 178634114X $q (hbk.)
035 $a 000000033
040 $a WSPC $b eng $c WSPC
041 0 $a eng
050 4 $a QA402 $b .M3585 2016
082 0 4 $a 003 $2 23
100 1 $a Masuda, Naoki, $d 1976- $3 710571
245 1 2 $a A guide to temporal networks $h [electronic resource] / $c Naoki Masuda, Renaud Lambiotte.
250 $a 1st ed.
260 $a London : $b World Scientific Publishing Europe, $c c2016.
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.
533 $a Electronic reproduction. $b Singapore : $c World Scientific, $d [2016]
588 $a Title from PDF file title page (viewed September 22, 2016)
650 0 $a System analysis. $3 176498
650 0 $a Computational complexity. $3 393856
650 0 $a Social networks $x Mathematical models. $3 435162
700 1 $a Lambiotte, Renaud. $3 710572
830 0 $a World Scientific series on complexity science ; $v v. 5. $3 709253
856 4 0 $u http://www.worldscientific.com/worldscibooks/10.1142/Q0033#t=toc