NEMO 2011 - Workshop on Finding patterns of human behaviors in NEtworks and MObility data (NEMO)

In the past decade, network theory has revolutionized our understanding of systems of interacting objects, impacting a wide array of disciplines. In the area of complex systems we are witnessing yet another seismic shift. Indeed, thanks to the increasing availability of large-scale data in many diverse settings, researchers now have access to patterns of human behavior at an unprecedented level of details. These large-scale datasets, offering objective description on human activity patterns, are expected to revolutionize our understanding of human behavior.

Researchers have attempted to study, measure, model and predict human behaviors from many different perspectives. For example, much effort has been devoted to understanding how people connect, interact, and exchange information with others. At the same time, there has been wide and multidisciplinary research on understanding human mobility patterns: where do people go? How fast do they move? How regular are their movements? These advances in social networks and human mobility have also turned the interplay between these two aspects into an emergent focus in our understanding of human behavior.

The aim of the workshop is to bring together pioneering researchers in the fields of data mining and machine learning who are focusing on above topics, and thus intensify the exchange of ideas among different research communities to foster devising tools and models for creation, analysis, and visualization of network and mobility data.

Therefore, contributions to the workshop should focus on, but are not limited to:
(conceptual) modeling and creation of complex networks from mobility data
(adaptive) visualization of complex networks and/or mobility patterns
Data mining query languages for complex networks and mobility data
Data structures and data bases for trajectory data
User mobility behavior modeling
Constraint-based pattern mining in complex networks and mobility data
Privacy preserving mining of mobility data
Mobility-driven semantics in complex networks
Special Issue

We plan to invite revised and extended versions of a selection of papers accepted at NEMO to a special issue of the KAIS Journal. We will announce the details soon.
Awards

We plan to have one Best Paper award and one Student Travel award. More details will be available soon.
Key Dates

Paper Submission: June 7st, 2011
Notification of Acceptance: July 1th, 2011
Camera Ready Papers: July 21th, 2011
Early Registration: to be announced
Workshop: to be announced - September 2011
Paper Submission

Authors are invited to submit manuscripts dealing with the topic of the workshop. We welcome papers that present new results, ongoing projects or completed work (even previously published). The instructions for authors and the LaTeX packages can be found at http://www.springer.de/comp/lncs/authors.html. There is no limitation on paper length although we recommend the usual page limits of around 12 pages.

Submission System
To submit a paper, please use the submission system located at:
to be announced

Proceedings

To be announced

Organization

General Chairs
Albert-László Barabási - CCNR, Northeastern University, USA
Michele Berlingerio - KDD Lab, ISTI-CNR Pisa, Italy
Dino Pedreschi - KDD Lab, Dept. of Computer Science, University of Pisa, Italy
Dashun Wang - CCNR, Northeastern University, USA
Sponsor and Award Chair
Mirco Nanni - KDD Lab, ISTI-CNR Pisa, Italy
Contacts

For inquiries, please contact:
michele DOT berlingerio AT isti DOT cnr DOT it
dashunwang AT gmail DOT com
Program Committee

Leman Akoglu - Carnegie Mellon University
James P. Bagrow - CCNR, Northeastern University
Tanya Berger-Wolf - University of Illinois at Chicago
Vincent D. Blondel - Université catholique de Louvain
Nick Blumm - CCNR, Northeastern University
Ilaria Bordino - Yahoo! Research
Dirk Brockmanm - Northwestern University
Michele Coscia - University of Pisa
Marta C. Gonzalez - CEE, Massachusetts Institute of Technology
César A. Hidalgo - Media Lab, Massachusetts Institute of Technology
U Kang - Carnegie Mellon University
Sune Lehmann, Technical University of Denmark
Ching-Yung Lin - IBM TJ Watson Research Center
Yu-Ru Lin - IQSS, Harvard University
Andreas Nürnberger - Otto-von-Guericke-Universität Magdeburg
Tina Eliassi-Rad - Rutgers University
Fabio Pinelli - KDDLab ISTI-CNR Pisa
Salvatore Rinzivillo - KDDLab ISTI-CNR Pisa
Xiaolin Shi - Stanford University
Chaoming Song - CCNR, Northeastern University
Pedro Olmo Stancioli Vaz de Melo - Federal University of Minas Gerais
Shirish Tatikonda - IBM Almaden
Hanghang Tong - IBM TJ Watson Research Center
Roberto Trasarti - KDDLab ISTI-CNR Pisa
Pu Wang - Massachusetts Institute of Technology
Jiang Yang - University of Michigan
Philip Yu - University of Illinois at Chicago
Wen Zhen - IBM TJ Watson Research Center