Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Making Complex Articulated Agents Dance
Autonomous Agents and Multi-Agent Systems
Intuitive Crowd Behaviour in Dense Urban Environments using Local Laws
TPCG '03 Proceedings of the Theory and Practice of Computer Graphics 2003
Flocking by a Set of Autonomous Mobile Robots
Flocking by a Set of Autonomous Mobile Robots
A relative positioning system for co-located mobile devices
Proceedings of the 3rd international conference on Mobile systems, applications, and services
Spray computers: Explorations in self-organization
Pervasive and Mobile Computing
Case studies for self-organization in computer science
Journal of Systems Architecture: the EUROMICRO Journal - Special issue: Nature-inspired applications and systems
Review: Coverage and connectivity issues in wireless sensor networks: A survey
Pervasive and Mobile Computing
A Decentralized and Adaptive Flocking Algorithm for Autonomous Mobile Robots
GPC-WORKSHOPS '08 Proceedings of the 2008 The 3rd International Conference on Grid and Pervasive Computing - Workshops
Spatial Data Correlation Based Clustering Algorithms for Wireless Sensor Networks
ICICIC '08 Proceedings of the 2008 3rd International Conference on Innovative Computing Information and Control
LifeBelt: Silent Directional Guidance for Crowd Evacuation
ISWC '09 Proceedings of the 2009 International Symposium on Wearable Computers
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Self-organization is a computing paradigm in which participating entities proceed to execute a global goal strictly based on local information. In population dynamics, the sense of togetherness (due to social bindings or a common confinement) experienced by a group of individuals (i.e. 'crowd group') is an interesting phenomenon to explore in the context of self-organization. Given a mechanism supporting spatial awareness, many settings require individuals belonging to a group, not only, to stay together (togetherness), but also to account for personal goals (dispersion). Self-organization can help individuals within such a group to stay together and having dispersed at the same time, togetherness being the primary requirement. In this paper, we discussed the parameters defining togetherness and dispersion within a spatially aware crowd group. In this context, the factors affecting the interplay between togetherness and dispersion were examined and maximum tolerable limits of dispersion were tailored in diverse settings of collaboration range, number of individuals willing to diverge and density of a crowd group. Simulation results provide insight into the interplay between these parameters, hence resolving operational dependencies.