Computational models to study crowds and manifestations A multi-actor approach
conference paper
This contribution seeks to answer the question: "What mechanisms underlie crowd behavior patterns?" After criticizing myths on crowd phenomena, we formulate three important general insights, drawn from modern crowd research: 1) Crowd behavior is generated by individuals; 2) Crowd behavior is context dependent; 3) Crowd behavior is dynamic. We developed a multi-actor computer simulation model (CROSS) incorporating various levels of description: inter-individual (group), individual, intra-individual (cognitive). Two experiments are performed with CROSS. The first one explores the effect of a physical factor (density) on behavior clustering. The second experiment explores the effect of a social factor (leadership) on behavior clustering. Concerning density we did not found a linear increase with behavior clustering and concerning leadership, we found that more leaders present results in more dispersed clustering. In this article, semiotics and humanities are only implicitly dealt with, but organizational and computational issues are strongly discussed. © ICISO 2011. All rights reserved.
Topics
TNO Identifier
954293
ISBN
9789490719
978-949071900-5
978-949071900-5
Publisher
Fryske Akademy
Source title
ICISO 2011 - Proceedings of the 13th International Conference on Informatics and Semiotics in Organisations: Problems and Possibilities of Computational Humanities, co-located with IWRA 2011 IFIP WG8.1 Working Conference, co-located with IWRA 2011 IFIP WG8.1 Working Conference, 4 July 2011 through 6 July 2011
Editor(s)
Jorna, R.J.
Liu, K.
Faber, N.
Liu, K.
Faber, N.
Pages
213-220
Files
To receive the publication files, please send an e-mail request to TNO Repository.