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Call for Papers:

Intelligent Data Analysis - IOS Press
Special issue on
Dynamic Networks and Knowledge Discovery

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Aim and Scope
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Modeling and analyzing networks is a major emerging topic in different research
areas, such as computational biology, social science, document retrieval, etc.
By connecting objects, it is possible to obtain an intuitive and global view of
the relationships between components of a complex system. Nowadays, the
scientific communities have access to huge volumes of network-
structured data, such as social networks, gene/protein/metabolic networks,
sensor networks, peer-to-peer networks. Most often, these data are not only
static, but they are collected at different time points. This dynamic view of
the system allows the time component to play a key role in the comprehension of
the evolutionary behavior of the network (evolution of the network structure
and/or of flows within the system). Time can help to determine the real causal
relationships within, for instance, gene activations, link creation/deletion,
information flow.

Handling such dynamic data is a major challenge for current research in machine
learning and data mining, and has led to the development of recent
innovative techniques that consider complex/multi-level time-evolving networks,
graphs, heterogeneous information (nodes and links), and requires scalable
algorithms that are able to manage huge and complex networks.

This special issue is motivated by the interest of providing a meeting point
for scientists involved in the intelligent analysis of large complex networks
and more specifically in the dynamic aspects of such networks. It aims at
attracting contributions from both aspects of dynamic networks
analysis: large real network analysis and modelling, and knowledge discovery
within those networks. Application of such techniques in the Bioinformatics or
Social Networks fields are most welcome in the special issue.

Following the success of the DyNak workshop (http://kdd.di.unito.it/DyNaK2010/)
joint with ECML/PKDD 2010 in Barcelona, we invite DyNaK's authors to send
extended versions of their workshop contribution. The special issue is however
open to relevant contributions that were not presented at the DyNak workshop
(see submission process below).

Topics of interest
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Contributions to the special issue should be focused on this (non exhaustive)
list of topics:

Methods:
* Network inference from raw data
* Graphical models
* Graph mining algorithms
* Graph kernel algorithms
* Relational learning algorithms
* Matrix/Tensor methods
* Information retrieval algorithms
* Bayesian methods
* Evolutionary clustering
* Mining and learning from heterogenous domains
* Bisociative information discovery
* Clustering/Co-clustering/Biclustering
* Pattern mining and clustering with constraints
* Community detection/Module extraction
* Analogies between social and biological networks

Applications:
* System biology: regulatory gene networks, protein-protein interaction,
miRNA networks, metabolic networks
* Social networks: folksonomies, digital libraries, information networks,
social media, collaborative networks
* Sensor networks, peer-to-peer networks, Web, agent networks, body sensor
networks

Key Dates
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* Abstract submission: December 15, 2010
* Feedback on abstracts: December 22, 2011
* Full paper submission: January 31, 2011
* Author notification: April 30, 2011
* Paper revision due: May 31, 2011


Guest Editors
------------
* Ruggero G. Pensa, University of Torino, Italy
pensa@di.unito.it
* Francesca Cordero, University of Torino, Italy
fcordero@di.unito.it
* Céline Rouveirol, University of Paris Nord, France
celine.rouveirol@lipn.univ-paris13.fr
* Rushed Kanawati, University of Paris Nord, France
rushed.kanawati@lipn.univ-paris13.fr

Submission process
------------------

The selection will take place in two steps:
- by *December 15th* 2010, authors should send a two-page abstract,
motivating the relevance of their work with respect to the special
issue topics. The authors should receive by December 22nd a first
feedback from guest editors.

- by *January 31st* 2011, authors allowed to proceed to full
submission should send their manuscript, in pdf exclusively.
Manuscripts should not be more than 30 pages in the IOS format
(please refer to http://www.iospress.nl/html/1088467x_ita.html, when
preparing your manuscript). Abstract and full submissions should be
sent both to pensa@di.unito.it and rouveirol@lipn.univ-paris13.fr.