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CFP: Special session on Multiplex Network Mining@CASoN?2014
30 July, 1 August 2014, Porto Portugal

Abstract submission deadline     : 20 MAY 2014
Submission deadline (extended) : 31 May 2014
web site : http://lipn.fr/mnm14
submission site : https://www.easychair.org/conferences/?conf=cason2014
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Context
Complex networks used to model interactions in real-world phenomena are often heterogeneous network with d ifferent types of nodes and edges. Focusing on a single type of nodes, a complex network would be better described by a multiplex: a set of nodes related to each other with different types of relations. This representation is much richer than simple complex networks often used to model complex interaction systems. However, this poses the challenge to provide adequate answers to all basic network analysis tasks that have been studied and provided in the recent few years for the case of homogeneous networks. This include for instance: the problem of node ranking (computing nodes centralities), community detection, link prediction, information diffusion models and network visualization. Almost all work in the field of multiplex network analysis are based on transforming the problem, in a way or another to the classical case of homogeneous network analysis.
Existing approaches include: layer aggregation based approaches or applying ensemble methods on results obtained on eac h layer aside . Little work has focused on analyzing all layers at once. The goal of this session is to make the point on new approaches for multiplex network analysis and mining.

Topics

A non-exhaustive list of relevant topics include:

Models & measures for multiplex networks
      Centrality in multiplex networks
      Paths, clustering coefficient in multiplex networks
      Random walks on multiplex networks
      Co-evolution of layers in multiplex networks.
      Layer aggregation approaches.
      Vertex similarity in multiplex network

Community detection in multiplex network
      Multiplex network partitioning
      Multi-layer modularity functions
      Overlapping community detection

Dynamic & multiplex networks
      Link prediction in multiplex network
      Missing links detection
      Multiplex network evolution models
      Dynamic networks as a multiplex 

Machine learning approaches  
      Ensemble learning for multiplex network mining
      Multi-view clustering
      Collaboratif learning

Applications 
      Recommender systems
      Heterogeneous network mining
      Reality mining
      Mobility data mining
      Networks of networks analysis

Submitted papers should be original and contain contributions of theoretical, experimental or application nature, or be unique experience reports.

The page limit for a full-length paper is 6 pages. 
Short papers describing novel research visions, work-in-progress or less mature results are also welcome, with a minimum limit of 4 pages. 
All submissions should be in the IEEE 8.5 two-column format. 

Papers will be evaluated for originality, significance, clarity, and soundness, and will be reviewed by at least three independent reviewers. The conference proceedings will be distributed amongst the participants during the conference. Accepted papers must be presented by author(s) personally to be published in the conference proceedings.

Program Committee

Marc Barthelemy, CEA-IPhT, CNRS URA 2306
Michele Coscia, Cen ter for International Development - Harvard University
Manlio De Domenico, Universitat Rovira i Virgili
Jean-loup Guillaume, LIP6, UMPC, Paris, France
Rushed Kanawati (chair), Sorbonne Paris Cité, LIPN CNRS UMR 7030
Renaud Lambiotte, University of Namur
Christine Largeron, LHC, Univ. St.Etienne
Maria Malek, LARIS, EISTI Cergy
Metteo Magnani, Uppsala University
Ruggero Pensa, University of Torino
Céline Rouveirol, Sorbonne Paris cité, LIPN CNRS UMR 7030
Sun Yizhou, Northeastern University
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Rushed Kanawati, PhD
Associate professor in Computer Science
LIPN CNRS UMR 7030
Institut Galilée - Université Paris Nord
99 AV. J.B. Clément 93430 Villetaneuse - France