Pokémon GO in Melbourne CBD: A case study of the cyber-physical symbiotic social networks

Wang, D; Wu, T; Wen, S; Liu, D; Xiang, Y; Zhou, W; Hassan, H; Alelaiwi, A

Pokémon GO in Melbourne CBD: A case study of the cyber-physical symbiotic social networks

Wang, D Wu, T Wen, S Liu, D Xiang, Y Zhou, W

Hassan, H Alelaiwi, A

Permalink

Publication Type:: Journal Article
Citation:: Journal of Computational Science, 2018, 26 pp. 456 - 467
Issue Date:: 2018-05-01

Closed Access

	Filename	Description	Size
	1-s2.0-S1877750317303277-main.pdf	Published Version	4.58 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Wang, D	en_US
dc.contributor.author	Wu, T	en_US
dc.contributor.author	Wen, S	en_US
dc.contributor.author	Liu, D	en_US
dc.contributor.author	Xiang, Y	en_US
dc.contributor.author	Zhou, W https://orcid.org/0000-0002-1680-2521	en_US
dc.contributor.author	Hassan, H	en_US
dc.contributor.author	Alelaiwi, A	en_US
dc.date.issued	2018-05-01	en_US
dc.identifier.citation	Journal of Computational Science, 2018, 26 pp. 456 - 467	en_US
dc.identifier.issn	1877-7503	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133129
dc.description.abstract	© 2017 Elsevier B.V. The recent popular game, Pokémon GO, created two symbiotic social networks by location-based mobile augmented reality (LMAR) technique. One is in the physical world among players, and another one is in the cyber world among players’ avatars. To date, there is no study that has explored the formation of each social network and their symbiosis. In this paper, we carried out a data-driven research on the Pokémon GO game to solve this problem. We accordingly organised the collection of two real datasets. For the first dataset, we designed a questionnaire to collect players’ individual behaviours in Pokémon GO, and used maps of Melbourne (Australia) to track and record their usual playing areas. Based on the data that we collected, we modelled the formation of the symbiotic social networks in both physical world (i.e. for players) and cyber world (i.e. for avatars) as well as interactions between players and Pokémon GO elements (i.e. ‘bridges’ of the two worlds). By investigating the mechanism of network formation, we revealed the relatively weak correlation between the formation processes of the two networks. We further incorporated the real-world pedestrian dataset collected by sensors across Melbourne CBD into the study of their symbiosis. Based on the second dataset, we examined the changes of people's social behaviours in terms of most visited places. The results suggested that the existence of the cyber social network has reciprocally changed the structure of the symbiotic physical social network.	en_US
dc.relation.ispartof	Journal of Computational Science	en_US
dc.relation.isbasedon	10.1016/j.jocs.2017.06.009	en_US
dc.title	Pokémon GO in Melbourne CBD: A case study of the cyber-physical symbiotic social networks	en_US
dc.type	Journal Article
utslib.citation.volume	26	en_US
utslib.for	0803 Computer Software	en_US
utslib.for	0802 Computation Theory and Mathematics	en_US
utslib.for	0806 Information Systems	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	26	en_US

Abstract:

© 2017 Elsevier B.V. The recent popular game, Pokémon GO, created two symbiotic social networks by location-based mobile augmented reality (LMAR) technique. One is in the physical world among players, and another one is in the cyber world among players’ avatars. To date, there is no study that has explored the formation of each social network and their symbiosis. In this paper, we carried out a data-driven research on the Pokémon GO game to solve this problem. We accordingly organised the collection of two real datasets. For the first dataset, we designed a questionnaire to collect players’ individual behaviours in Pokémon GO, and used maps of Melbourne (Australia) to track and record their usual playing areas. Based on the data that we collected, we modelled the formation of the symbiotic social networks in both physical world (i.e. for players) and cyber world (i.e. for avatars) as well as interactions between players and Pokémon GO elements (i.e. ‘bridges’ of the two worlds). By investigating the mechanism of network formation, we revealed the relatively weak correlation between the formation processes of the two networks. We further incorporated the real-world pedestrian dataset collected by sensors across Melbourne CBD into the study of their symbiosis. Based on the second dataset, we examined the changes of people's social behaviours in terms of most visited places. The results suggested that the existence of the cyber social network has reciprocally changed the structure of the symbiotic physical social network.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/133129