Applications to time-varying dynamical systems
著者
書誌事項
Applications to time-varying dynamical systems
(Modeling and simulation in science, engineering & technology, . Dynamics on and of complex networks ; vol. 2)
Birkhäuser , Springer, c2013
大学図書館所蔵 全4件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Other editors: Monojit Choudhury, Fernando Peruani, Niloy Ganguly and Bivas Mitra
Includes bibliographical references and index
内容説明・目次
内容説明
This self-contained book systematically explores the statistical dynamics on and of complex networks with a special focus on time-varying networks. In the constantly changing modern world, there is an urgent need to understand problems related to systems that dynamically evolve in either structure or function, or both. This work is an attempt to address such problems in the framework of complex networks.
Dynamics on and of Complex Networks, Volume 2: Applications to Time-Varying Dynamical Systems is a collection of surveys and cutting-edge research contributions exploring key issues, challenges, and characteristics of dynamical networks that emerge in various complex systems. Toward this goal, the work is thematically organized into three main sections with the primary thrust on time-varying networks: Part I studies social dynamics; Part II focuses on community identification; and Part III illustrates diffusion processes.
The contributed chapters in this volume are intended to promote cross-fertilization in several research areas and will be valuable to newcomers in the field, experienced researchers, practitioners, and graduate students interested in pursuing research in dynamical networks with applications to computer science, statistical physics, nonlinear dynamics, linguistics, and the social sciences.
This volume follows Dynamics On and Of Complex Networks: Applications to Biology, Computer Science, and the Social Sciences (2009), ISBN 978-0-8176-4750-6.
目次
Part I Online social media, Internet and WWW.- Dynamics in online social networks.- An empirical validation of growth models for complex networks.- On the routability of the Internet.- The evolution of layered protocol stacks leads to an hourglass-shaped architecture.- Opinion dynamics on coevolving networks.- Part II Community analysis.- A template for parallelizing the Louvain method for modularity Maximization.- Multi-scale modularity and dynamics in complex networks.- Evaluating the performance of clustering algorithms in networks.- Communities in evolving networks: definitions, detection and analysis Techniques.- Clustering hypergraphs for discovery of overlapping communities in folksonomies.- The stability of a graph partition: A dynamics-based framework for community detection.- Algorithms for finding motifs in large labeled networks.- Part III Diffusion, spreading, mobility and transport.- A dynamical network view of Lyon's Velo'v shared bicycle System.- Generalized voter-like models on heterogeneous networks.- Epidemics on a stochastic model of temporal network.- Network-based information filtering algorithms: ranking and recommendation
「Nielsen BookData」 より