You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.
The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.
For the reports in this repository we specifically note that
By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.
If you are in doubt, feel free to contact firstname.lastname@example.org
MAARTEN VAN STEEN is professor of large-scale distributed systems at VU University Amsterdam and currently chair of its Department of Computer Science. Since several years, a large part of his research is concentrated on understanding very large networked systems of small, wireless devices such as massive sensor networks. Next to such extreme distributed systems, his interests also reach out to complex-network science and understanding the behavior that emerges from very large networked systems. He is (co-)author of three text books, including "Distributed Systems, Principles and Paradigms" (with Andrew Tanenbaum) and "Graph Theory and Complex Networks, An Introduction."Talk:
Observing crowd dynamics: from extreme systems to complex networks With the advent of very small wireless sensor nodes, it has become possible to build highly nonintrusive massive networked systems that measure the whereabouts of people. In this talk, I will focus on how we can use sensor technology to measure the structure of a crowd of people in the form of so-called proximity graphs. Measurements start with accurately detecting whether two nodes are within each other’s range, extracting detections from a network of (tens of) thousands of nodes, and subsequently applying dynamic network analysis techniques to discover interesting patterns.Powerpoint slides