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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Da Nang Publishing House
2021
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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 |