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Contemporary Social Science
Journal of the Academy of Social Sciences
Volume 6, 2011 - Issue 3: Crowds in the 21st Century
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Original Articles

On modelling the influence of group formations in a crowd

Gerta Köster Department of Computer Science and Mathematics, University of Applied Sciences, Munich, GermanyCorrespondence[email protected]
,
Michael Seitz Department of Computer Science and Mathematics, University of Applied Sciences, Munich, Germany
,
Franz Treml Department of Computer Science and Mathematics, University of Applied Sciences, Munich, Germany
,
Dirk Hartmann Siemens AG, Germany
&
Wolfram Klein Siemens AG, Germany
Pages 397-414 | Published online: 17 Nov 2011

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Yanghui Hu, Xiangxia Ren, Jun Zhang & Weiguo Song. (2023) An experimental study on the movement characteristics of a social group in unidirectional flow. Transportmetrica A: Transport Science 19:1.
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Yanghui Hu & Nikolai W. F. Bode. (2023) A systematic review and meta-analysis on the effect social groups have on the egress times of pedestrian crowds. Transportmetrica A: Transport Science 19:1.
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Alexandre Nicolas & Fadratul Hafinaz Hassan. (2023) Social groups in pedestrian crowds: review of their influence on the dynamics and their modelling. Transportmetrica A: Transport Science 19:1.
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Michael J. Seitz, Anne Templeton, John Drury, Gerta Köster & Andrew Philippides. (2017) Parsimony versus Reductionism: How Can Crowd Psychology be Introduced into Computer Simulation?. Review of General Psychology 21:1, pages 95-102.
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Claudio Feliciani, Hisashi Murakami, Kazumichi Ohtsuka, Giuseppe Vizzari & Katsuhiro Nishinari. (2022) Social Groups in Pedestrian Crowds as Physical and Cognitive Entities: To What Extent Can We Model and Predict Their Behavior?. SSRN Electronic Journal.
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