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Temporal networks

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The concept of temporal networks is an extension of complex networks as a modeling framework to include information on when interactions between nodes happen.
Many studies of the last decade examine how the static network structure affect dynamic systems on the network. In this traditional approach the temporal aspects are pre-encoded in the dynamic system model.
Temporal-network methods, on the other hand, lift the temporal information from the level of system dynamics to the mathematical representation of the contact network itself.
This framework becomes particularly useful for cases where there is a lot of structure and heterogeneity both in the timings of interaction events and the network topology.
The advantage compared to common static network approaches is the ability to design more accurate models in order to explain and predict large-scale dynamic phenomena (such as, e.g., epidemic outbreaks and other spreading phenomena). On the other hand, temporal networkmethods are mathematically and conceptually more challenging.
This book is intended as a first introduction and state-of-the art overview of this rapidly emerging field.

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Ketersediaan

Informasi Detail

Judul Seri

Understanding Complex Systems (UCS)

No. Panggil

E1771

Penerbit

Heidelberg : Springer Berlin., 2013

Deskripsi Fisik

viii, 352 hlm.

Bahasa

English

ISBN/ISSN

9783642364617

Klasifikasi

NONE

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

Jaringan Temporal : Kompleksitas
Matematika : Ilmu Sosial dan Humaniora
Metodologi Ilmu Sosial

Info Detail Spesifik

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Pernyataan Tanggungjawab

Editors: Petter Holme, Jari Saramäki

Versi lain/terkait

Lampiran Berkas

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