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Propagation Phenomena

Introduction

Propagation Phenomena in Real World Networks, Book to be edited by Dariusz Krol, Damien Fay, Bogdan Gabrys; Proposal deadline 31 Mar 2014

Call for Book Chapters

Proposal Submission Deadline: March 31, 2014

Propagation Phenomena

in Real World Networks”

A book edited by

, ,

To be published by Springer within the

series,

Series Editors: Kacprzyk, Janusz, Jain, Lakhmi C.

ISSN: 1868-4394

Introduction

Propagation and particularly error propagation phenomena have become a pervasive and significant feature of contemporary complex networks. By studying these phenomena, one can better understand information and knowledge spreading in systems which in turn can lead to improvement in performance and robustness. Recently, enormous interest has been devoted to modelling cascade failures on networks with a view to designing ‘better’ networks, not only robust to the random loss of nodes, but also less vulnerable to targeted  attacks which bring down specifically selected nodes. In response to many types of disturbances, propagation techniques play an important role in maintaining existing networks, e.g. synchronization in electric power grids, prediction of complex system behaviour, resource discovery and monitoring, locating biological invasions and assessing damage, virus propagation control and containment, decomposition and immunization of social and large scale infrastructure networks.

Objective of the book

This book intends to cover both methodological and technological issues about the utilization of propagation paradigms inspired by cross-fertilization from various domains. In particular we examine the many challenges faced by propagation in complex networks which will impact on the design of next generation networks. It is also aimed at interesting applications involving advanced propagation-based processing. The research herein presents results which will help researchers and engineers in the development of highly robust and efficient technologies by shedding light on propagation phenomena, their use and limitations.

Coverage

Topics to be discussed in this publication include, but are not limited to, the following:

·         information filtering and diffusion,

·         activity coordination, collaboration and cooperation,

·         knowledge propagation and integrity maintenance,

·         epidemic spreading including warm propagation,

·         cascading failures analysing and the damage assessment,

·         big data migration and metadata evolution,

·         identifying influential spreaders,

·         expertise location and team formation,

·         collaborative decision-making techniques,

·         collective behaviour of colonies,

·         anomaly detection, prevention and immunization,

·         robustness/reliability estimation and improvement, and

·         predictive models and techniques.

Instructions to authors

Chapters and abstracts should be submitted electronically as a single PDF file through EasyChair at . The proposals should not have been published or be currently submitted for publication elsewhere. All submitted chapters will be peer reviewed, and will be evaluated on the basis of originality, quality and relevance to this book, and on the basis of clarity and correct use of English. Submissions should follow the Springer guidelines. For more detailed information concerning the requirements for the book style, please refer to the webpage at:

Important Dates

Abstract submission: Feb 15, 2014

Proposal submission: March 31, 2014

Proposal acceptance: April 30, 2014

Complete chapter submission: May 31, 2014

Estimated publication date: Q4/2014

Inquiries can be forwarded to

corresponding editor

Smart Technology Research Centre

School of Design, Engineering & Computing

Bournemouth University

Poole House, Talbot Campus

Fern Barrow Poole, Dorset

BH12 5BB United Kingdom

Dariusz.Krol@pwr.wroc.pl

Institute of Informatics

Wroc?aw University of Technology

Wyb. Wyspia?skiego 27

50-370 Wroc?aw, Poland

Smart Technology Research Centre

School of Design, Engineering & Computing

Bournemouth University

Poole House, Talbot Campus

Fern Barrow Poole, Dorset

BH12 5BB United Kingdom

dfay@bournemouth.ac.uk

Smart Technology Research Centre

School of Design, Engineering & Computing

Bournemouth University

Poole House, Talbot Campus

Fern Barrow Poole, Dorset

BH12 5BB United Kingdom

bgabrys@bournemouth.ac.uk


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