Detect the Formation of Groups in a Crowd Based on Social Relations

The 10th Conference on Information Technology and its Applications; Topic: Data Science and AI; pp. 32-44

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Bibliografski detalji
Glavni autori:	Dinh, Thi Hong Huyen, Hoang, Thi Thanh Ha, Michel, Occello
Format:	Bài viết
Jezik:	English
Izdano:	Da Nang Publishing House 2021
Teme:	Group Structure Social Relation Crowd Behavior Agent-based Model Multi-agent System
Online pristup:	http://elib.vku.udn.vn/handle/123456789/1847
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Thư viện lưu trữ:	Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng

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spelling	oai:elib.vku.udn.vn:123456789-18472023-09-25T10:02:14Z Detect the Formation of Groups in a Crowd Based on Social Relations Dinh, Thi Hong Huyen Hoang, Thi Thanh Ha Michel, Occello Group Structure Social Relation Crowd Behavior Agent-based Model Multi-agent System The 10th Conference on Information Technology and its Applications; Topic: Data Science and AI; pp. 32-44 People in public crowds tend to walk together based on their social relations, such as the relation-ships of friends, of family or colleagues, and to form groups. The works in [1,2,3,4] show that the percentage of people moving in a group is about 50% to 70%. This figure is much higher, above 70%, in stations or airports. In addition, individuals of these groups are usually connected with and rarely separated from each other thanks to their social relations. In this paper, we propose a model to detect the formation of groups in a crowd based on their social relations. Each group has a particular structure as well as certain roles of members in groups. The proposed model is experimented on the platform MASH [46]. The result of this study is used as a foundation to build a multi-level multi-agent model with the group level being a base level. An upper level is formed by the group representatives of its adjacent lower level and so on until the entire system is covered completely. We experiment with the model to simulate the behaviors of passengers in an airport lounge on fire. The simulated airport lounge has a structure like the lounge number 5, 1st floor, Danang International Airport. We approach the multi-agent system (MAS) to do this work. 2021-11-25T08:32:23Z 2021-11-25T08:32:23Z 2021 Working Paper 978-604-84-5998-7 http://elib.vku.udn.vn/handle/123456789/1847 en application/pdf Da Nang Publishing House
institution	Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng
collection	DSpace
language	English
topic	Group Structure Social Relation Crowd Behavior Agent-based Model Multi-agent System
spellingShingle	Group Structure Social Relation Crowd Behavior Agent-based Model Multi-agent System Dinh, Thi Hong Huyen Hoang, Thi Thanh Ha Michel, Occello Detect the Formation of Groups in a Crowd Based on Social Relations
description	The 10th Conference on Information Technology and its Applications; Topic: Data Science and AI; pp. 32-44
format	Working Paper
author	Dinh, Thi Hong Huyen Hoang, Thi Thanh Ha Michel, Occello
author_facet	Dinh, Thi Hong Huyen Hoang, Thi Thanh Ha Michel, Occello
author_sort	Dinh, Thi Hong Huyen
title	Detect the Formation of Groups in a Crowd Based on Social Relations
title_short	Detect the Formation of Groups in a Crowd Based on Social Relations
title_full	Detect the Formation of Groups in a Crowd Based on Social Relations
title_fullStr	Detect the Formation of Groups in a Crowd Based on Social Relations
title_full_unstemmed	Detect the Formation of Groups in a Crowd Based on Social Relations
title_sort	detect the formation of groups in a crowd based on social relations
publisher	Da Nang Publishing House
publishDate	2021
url	http://elib.vku.udn.vn/handle/123456789/1847
_version_	1849200713995911168

Detect the Formation of Groups in a Crowd Based on Social Relations

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