A Guide To Temporal Networks pdf epub mobi txt 電子書 下載 2024


A Guide To Temporal Networks

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Naoki Masuda
World Scientific Publishing Company
2016-9-28
252
GBP 81.00
Hardcover
9781786341143

圖書標籤: 計算  Network  Math   


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发表于2024-12-25

A Guide To Temporal Networks epub 下載 mobi 下載 pdf 下載 txt 電子書 下載 2024

A Guide To Temporal Networks epub 下載 mobi 下載 pdf 下載 txt 電子書 下載 2024

A Guide To Temporal Networks pdf epub mobi txt 電子書 下載 2024



圖書描述

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.

A Guide To Temporal Networks 下載 mobi epub pdf txt 電子書

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A Guide To Temporal Networks pdf epub mobi txt 電子書 下載
想要找書就要到 小哈圖書下載中心
立刻按 ctrl+D收藏本頁
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用戶評價

評分

看來temporal network目前的研究還不是非常成熟。不過按近來圖學習的發展趨勢,可能這幾年就會有graph vgg或者graph bert這樣的東西來提取特徵瞭。

評分

看來temporal network目前的研究還不是非常成熟。不過按近來圖學習的發展趨勢,可能這幾年就會有graph vgg或者graph bert這樣的東西來提取特徵瞭。

評分

閤作者寫的書,趕來捧場~~

評分

看來temporal network目前的研究還不是非常成熟。不過按近來圖學習的發展趨勢,可能這幾年就會有graph vgg或者graph bert這樣的東西來提取特徵瞭。

評分

閤作者寫的書,趕來捧場~~

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