Juliane Adrian, N. Bode, M. Amos, Mitra Baratchi, Mira Beermann, M. Boltes, Alessandro Corbetta, G. Dezecache, J. Drury, Zhijian Fu, Roland Geraerts, S. Gwynne, G. Hofinger, A. Hunt, Tinus Kanters, A. Kneidl, K. Kónya, Gerta Köster, M. Küpper, Georgios Michalareas, F. Neville, Evangelos Ntontis, S. Reicher, E. Ronchi, A. Schadschneider, A. Seyfried, A. Shipman, A. Sieben, M. Spearpoint, G. Sullivan, A. Templeton, F. Toschi, Zeynep Yücel, F. Zanlungo, I. Zuriguel, Natalie Van der
Wal, Frank van Schadewijk, Cornelia von Krüchten, Nanda Wijermans
{"title":"A Glossary for\nResearch on Human Crowd Dynamics","authors":"Juliane Adrian, N. Bode, M. Amos, Mitra Baratchi, Mira Beermann, M. Boltes, Alessandro Corbetta, G. Dezecache, J. Drury, Zhijian Fu, Roland Geraerts, S. Gwynne, G. Hofinger, A. Hunt, Tinus Kanters, A. Kneidl, K. Kónya, Gerta Köster, M. Küpper, Georgios Michalareas, F. Neville, Evangelos Ntontis, S. Reicher, E. Ronchi, A. Schadschneider, A. Seyfried, A. Shipman, A. Sieben, M. Spearpoint, G. Sullivan, A. Templeton, F. Toschi, Zeynep Yücel, F. Zanlungo, I. Zuriguel, Natalie Van der\nWal, Frank van Schadewijk, Cornelia von Krüchten, Nanda Wijermans","doi":"10.17815/CD.2019.19","DOIUrl":null,"url":null,"abstract":"This article presents a glossary of terms that are frequently used in research on human crowds. This topic is inherently multidisciplinary as it includes work in and across computer science, engineering, mathematics, physics, psychology and social science, for example. We do not view the glossary presented here as a collection of finalised and formal definitions. Instead, we suggest it is a snapshot of current views and the starting point of an ongoing process that we hope will be useful in providing some guidance on the use of terminology to develop a mutual understanding across disciplines. The glossary was developed collaboratively during a multidisciplinary meeting. We deliberately allow several definitions of terms, to reflect the confluence of disciplines in the field. This also reflects the fact not all contributors necessarily agree with all definitions in this glossary. ","PeriodicalId":93276,"journal":{"name":"Collective dynamics","volume":"14 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"43","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Collective dynamics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17815/CD.2019.19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 43
Abstract
This article presents a glossary of terms that are frequently used in research on human crowds. This topic is inherently multidisciplinary as it includes work in and across computer science, engineering, mathematics, physics, psychology and social science, for example. We do not view the glossary presented here as a collection of finalised and formal definitions. Instead, we suggest it is a snapshot of current views and the starting point of an ongoing process that we hope will be useful in providing some guidance on the use of terminology to develop a mutual understanding across disciplines. The glossary was developed collaboratively during a multidisciplinary meeting. We deliberately allow several definitions of terms, to reflect the confluence of disciplines in the field. This also reflects the fact not all contributors necessarily agree with all definitions in this glossary.