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

Dynamics on and of complex networks ...

Ghanbarnejad, Fakhteh.

Dynamics on and of complex networks IIImachine learning and statistical physics approaches /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Dynamics on and of complex networks IIIedited by Fakhteh Ghanbarnejad ... [et al.].
其他題名:	machine learning and statistical physics approaches /
其他作者:	Ghanbarnejad, Fakhteh.
出版者:	Cham :Springer International Publishing :2019.
面頁冊數:	x, 244 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Computer networks.
電子資源:	https://doi.org/10.1007/978-3-030-14683-2
ISBN:	9783030146832$q(electronic bk.)

Dynamics on and of complex networks IIImachine learning and statistical physics approaches /
Dynamics on and of complex networks IIImachine learning and statistical physics approaches /[electronic resource] :edited by Fakhteh Ghanbarnejad ... [et al.]. - Cham :Springer International Publishing :2019. - x, 244 p. :ill., digital ;24 cm. - Springer proceedings in complexity,2213-8684. - Springer proceedings in complexity..

Part1. Network Structure -- Chapter1. An Empirical Study of the Effect of Noise Models on Centrality Metrics -- Chapter2. Emergence and Evolution of Hierarchical Structure in Complex Systems -- Chapter3. Evaluation of Cascading Infrastructure Failures and Optimal Recovery from a Network Science Perspective -- Part2. Network Dynamics -- Chapter4. Automatic Discovery of Families of Network Generative Processes -- Chapter5. Modeling User Dynamics in Collaboration Websites -- Chapter6. The Problem of Interaction Prediction in Link Streams -- Chapter7. The Network Source Location Problem in the Context of Foodborne Disease Outbreaks -- Part3. Theoretical Models and applications -- Chapter8. Network Representation Learning using Local Sharing and Distributed Graph Factorization (LSDGF) -- Chapter9. The Anatomy of Reddit: An Overview of Academic Research -- Chapter10. Learning Information Dynamics in Social Media: A Temporal Point Process Perspective.

This book bridges the gap between advances in the communities of computer science and physics--namely machine learning and statistical physics. It contains diverse but relevant topics in statistical physics, complex systems, network theory, and machine learning. Examples of such topics are: predicting missing links, higher-order generative modeling of networks, inferring network structure by tracking the evolution and dynamics of digital traces, recommender systems, and diffusion processes. The book contains extended versions of high-quality submissions received at the workshop, Dynamics On and Of Complex Networks (doocn.org), together with new invited contributions. The chapters will benefit a diverse community of researchers. The book is suitable for graduate students, postdoctoral researchers and professors of various disciplines including sociology, physics, mathematics, and computer science.

ISBN: 9783030146832$q(electronic bk.)

Standard No.: 10.1007/978-3-030-14683-2doiSubjects--Topical Terms:

181923
Computer networks.

LC Class. No.: TK5105.5 / .D963 2019

Dewey Class. No.: 004.6

Dynamics on and of complex networks IIImachine learning and statistical physics approaches /
LDR:02992nmm a2200349 a 4500 001 559140
003 DE-He213
005 20191106171257.0
006 m d
007 cr nn 008maaau
008 191219s2019 gw s 0 eng d
020 $a 9783030146832$q(electronic bk.)
020 $a 9783030146825$q(paper)
024 7 $a 10.1007/978-3-030-14683-2 $2 doi
035 $a 978-3-030-14683-2
040 $a GP $c GP
041 0 $a eng
050 4 $a TK5105.5 $b .D963 2019
072 7 $a JHBC $2 bicssc
072 7 $a SCI064000 $2 bisacsh
072 7 $a JHBC $2 thema
072 7 $a PSAF $2 thema
082 0 4 $a 004.6 $2 23
090 $a TK5105.5 $b .D997 2019
245 0 0 $a Dynamics on and of complex networks III $h [electronic resource] : $b machine learning and statistical physics approaches / $c edited by Fakhteh Ghanbarnejad ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a x, 244 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer proceedings in complexity, $x 2213-8684
505 0 $a Part1. Network Structure -- Chapter1. An Empirical Study of the Effect of Noise Models on Centrality Metrics -- Chapter2. Emergence and Evolution of Hierarchical Structure in Complex Systems -- Chapter3. Evaluation of Cascading Infrastructure Failures and Optimal Recovery from a Network Science Perspective -- Part2. Network Dynamics -- Chapter4. Automatic Discovery of Families of Network Generative Processes -- Chapter5. Modeling User Dynamics in Collaboration Websites -- Chapter6. The Problem of Interaction Prediction in Link Streams -- Chapter7. The Network Source Location Problem in the Context of Foodborne Disease Outbreaks -- Part3. Theoretical Models and applications -- Chapter8. Network Representation Learning using Local Sharing and Distributed Graph Factorization (LSDGF) -- Chapter9. The Anatomy of Reddit: An Overview of Academic Research -- Chapter10. Learning Information Dynamics in Social Media: A Temporal Point Process Perspective.
520 $a This book bridges the gap between advances in the communities of computer science and physics--namely machine learning and statistical physics. It contains diverse but relevant topics in statistical physics, complex systems, network theory, and machine learning. Examples of such topics are: predicting missing links, higher-order generative modeling of networks, inferring network structure by tracking the evolution and dynamics of digital traces, recommender systems, and diffusion processes. The book contains extended versions of high-quality submissions received at the workshop, Dynamics On and Of Complex Networks (doocn.org), together with new invited contributions. The chapters will benefit a diverse community of researchers. The book is suitable for graduate students, postdoctoral researchers and professors of various disciplines including sociology, physics, mathematics, and computer science.
650 0 $a Computer networks. $3 181923
650 0 $a Big data. $3 609582
650 0 $a Machine learning. $3 188639
650 0 $a Statistical physics. $3 183716
650 1 4 $a Data-driven Science, Modeling and Theory Building. $3 758833
650 2 4 $a Complexity. $3 274400
650 2 4 $a Computational Social Sciences. $3 773096
650 2 4 $a Complex Systems. $3 558544
700 1 $a Ghanbarnejad, Fakhteh. $3 842050
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Springer proceedings in complexity. $3 675082
856 4 0 $u https://doi.org/10.1007/978-3-030-14683-2
950 $a Physics and Astronomy (Springer-11651)