Dynamics On and Of Complex Networks, Volume 2, Animesh Mukherjee; Monojit Choudhury; Fernando Per

Автор: Commendatore
Название: Complex Networks and Dynamics
ISBN: 3319408011 ISBN-13(EAN): 9783319408019
Издательство: Springer
Рейтинг:
Цена: 11179.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This volume sheds light on the current state of complex networks and nonlinear dynamics applied to the understanding of economic and social phenomena ranging from geographical economics to macroeconomics and finance, and its purpose is to give readers an overview of several interesting topics for research at an intermediate level. Three different and interdisciplinary, but complementary, aspects of networks are put together in a single piece, namely: (i) complex networks theory, (ii) applied network analysis to social and economic interrelations, and (iii) dynamical evolution of systems and networks. The volume includes contributions from excellent scholars in economics and social sciences as well as leading experts in the fields of complex networks and nonlinear dynamics.

Автор: Animesh Mukherjee; Monojit Choudhury; Fernando Per
Название: Dynamics On and Of Complex Networks, Volume 2
ISBN: 1489999809 ISBN-13(EAN): 9781489999801
Издательство: Springer
Рейтинг:
Цена: 15372.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: 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 V elo'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

Автор: David P. Rosin
Название: Dynamics of Complex Autonomous Boolean Networks
ISBN: 3319135775 ISBN-13(EAN): 9783319135779
Издательство: Springer
Рейтинг:
Цена: 16769.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This thesis focuses on the dynamics of autonomous Boolean networks, on the basis of Boolean logic functions in continuous time without external clocking.

Автор: David P. Rosin
Название: Dynamics of Complex Autonomous Boolean Networks
ISBN: 3319367064 ISBN-13(EAN): 9783319367064
Издательство: Springer
Рейтинг:
Цена: 13059.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This thesis focuses on the dynamics of autonomous Boolean networks, on the basis of Boolean logic functions in continuous time without external clocking.

Автор: Fabio Fagnani; Paolo Frasca
Название: Introduction to Averaging Dynamics over Networks
ISBN: 3319680218 ISBN-13(EAN): 9783319680217
Издательство: Springer
Рейтинг:
Цена: 15372.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book deals with averaging dynamics, a paradigmatic example of network based dynamics in multi-agent systems.

Автор: Ivan Zelinka; Guanrong Chen
Название: Evolutionary Algorithms, Swarm Dynamics and Complex Networks
ISBN: 3662556618 ISBN-13(EAN): 9783662556610
Издательство: Springer
Рейтинг:
Цена: 20962.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: In this book, based on many years of intensive research of the authors, is proposing novel ideas about advancing evolutionary dynamics towards new phenomena including many new topics, even the dynamics of equivalent social networks.