Finding Patterns of Human Behaviors in NEtwork and MObility Data - NEMO

a half-day workshop at ECMLPKDD 2011, Athens, Greece

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

Call for Papers

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

Selected papers will be invited to submit extended versions to a special issue of the Knowledge and Information Systems Journal (KAIS). More details will be announced after the workshop.

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 7th, 2011 EXTENDED to June 14th 17th
• Notification of Acceptance: July 1st, 2011
• Camera Ready Papers: July 21st, 2011
• Registration: please use the ECML-PKDD registration site
• Workshop: September 9th, 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:
http://wwwkdd.isti.cnr.it/conftool