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SUPPORT-VECTOR-MACHINES  October 2008

SUPPORT-VECTOR-MACHINES October 2008

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Subject:

Call For Book Chapters - Computational Social Networks Analysis

From:

Ajith Abraham <[log in to unmask]>

Reply-To:

The Support Vector Machine discussion list <[log in to unmask]>

Date:

Sat, 25 Oct 2008 22:17:40 +0200

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-- Call For Book Chapters --


Computational Social Networks Analysis: Trends, Tools and Research Advances

To be published  by  Springer   in  the Series  "Computer and
Communication Networks"   - 2009

Deadline for chapter proposal: October 30, 2008

Volume editor's : Ajith Abraham, Aboul Ella Hassanien and Václav Snášel

-----------------------------------------------------------------------------------------------------------------------------------------------------------------

Book Objectives

Social networks provide a powerful abstraction of the structure and
dynamics of diverse kinds of people or people-to-technology
interaction. Web 2.0 has enabled a new generation of Web-based
communities, social networks, and folksonomies to facilitate
collaboration among different communities. Social network analysis is
a rapidly growing field within the Web intelligence domain. The recent
developments in Web 2.0 have provided more opportunities to
investigate the dynamics and structure of Web-based social networks.
Recent trends also indicate the usage of social networks as a key
feature for next generation usage and exploitation of the Web.   This
book  provides an opportunity to compare and contrast the ethological
approach to social behavior in animals (including the study of animal
tracks and learning by members of the same species) with web-based
evidence of social interaction, perceptual learning, information
granulation, the behavior of humans and affinities between web-based
social networks.  The main topics cover the design and use of various
computational intelligence tools and software, simulations of social
networks, representation and analysis of social networks, use of
semantic networks in the design and community-based research issues
such as knowledge discovery, privacy and protection, and
visualization. In this book, we aim at gathering the latest advances
of various topics in intelligence social networks and reporting how
organizations can gain competitive advantages by applying the
different emergent techniques in the real-world scenarios. Chapters
and studies which couple the intelligence techniques and theories with
specific networks technology problems are cordially invited. Survey
articles that emphasize the research and application of intelligence
social networks in a particular domain are greatly welcome.The primary
target audience for the book includes researchers, scholars,
postgraduate students and developers who are interested in
intelligence social networks research and related issues. The book
will provide reviews of the cutting–edge technologies and insights for
SN-based systems. In particular, the book will be valuable companion
and comprehensive reference for both postgraduate and senior
undergraduate students who are taking a course in Social Intelligence.
The book will be organized in self-contained chapters to provide
greatest reading flexibility.

Topics

Recommended topics include but are not limited to the following:



o     Automatic discovery and analysis of Web based social networks.

o     Intelligent Visualization of Social Network Analysis

o     Intelligent social network

o     Social Network Mining

o     Social Networks and Social Intelligence

o     Web Site Clustering

o     Link Topology and Site Hierarchy

o     Theories of Small-World Web

o     Virtual and Web Communities

o     Security, privacy and trust

o     Computational Analysis of Social and Organizational Systems

o     Web-Based Cooperative Work

o     Knowledge Community Formation and Support

o     Ubiquitous Computing

o     Intelligent Wireless Web

o     Ubiquitous Learning Systems

o     Social network analysis of communities of practice

o     Network evolution and growth mechanisms

o     Information diffusion in social networks

o     Affiliation networks

o     Epidemics and rumors in networks

o     Geographical clusters, networks, and innovation

o     Effects of network structure and dynamics on knowledge transfer
and sharing

o     Intra- and inter-organizational networks

o     Social capital, structural holes and Simmelian ties

o     Online communities and computer networks

o     Computational models and agent-based simulations of networks

o     Infrastructure and Tools for e-Social network

o     Interdisciplinary Research and e-Social network

o     International Collaborations in e-Social network



Submission Guidelines

Researchers and practitioners are kindly invited to upload on or
before  Oct. 30 2008 a preliminary title and a short abstract of their
chapter using the following link:
http://www.cs.vsb.cz/arg/tc_book/indexes/conf_index/csna09

This will facilitate the planning of the review process. Careful
preparation of the manuscripts will help keep production time short
and ensure satisfactory appearance of the finished book. Please
prepare the manuscript using the author guidelines as follows:

- Each chapter must be self-contained and not exceed 30 pages,

- Please centralize all tables and figures with appropriate legends,

- Please carefully check for typos inside the text, figures, legends, etc.

- All equations must be numbered and please try to use standard fonts.

- Produce a LaTeX version of your chapter using the template provided
in the Author Guidelines

Important Dates

Deadline for chapter proposal (title  and abstract)
 October 30, 2008

Deadline for FULL chapter submission
 December 15, 2008

Notification of acceptance/rejection of chapters
 Feb. 15, 2009

Deadline for submission of final chapters
 March, 1 2009

Publication of book:
Second half of 2009


Volume editors

Ajith Abraham
http://www.softcomputing.net

Aboul Ella Hassanien
http://www.softcomputing.net/~abo/

Václav Snášel
http://www.cs.vsb.cz/snasel

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