Call for Book Chapters
First Draft of the Chapter Submission Deadline: April 30, 2014

“Propagation Phenomena in Real World Networks”

A book edited by Dariusz Krol, Damien Fay, Bogdan Gabrys

To be published by Springer within the Intelligent Systems Reference Library 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 https://www.easychair.org/conferences/?conf=ppirwn2014. 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:
http://www.springer.com/authors/book+authors?SGWID=0-154102-12-970131-0

Important Dates
First draft of the chapter submission: April 30, 2014
First decision notification: May 31, 2014
The final revised chapter submission: June 20, 2014
Estimated publication date: Q4/2014

Inquiries can be forwarded to

Dariusz Krol - 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
Wrocław University of Technology
Wyb. Wyspiańskiego 27
50-370 Wrocław, Poland

Damien Fay
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

Bogdan Gabrys
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