An efficient approach to understanding social evolution of location-focused online communities in location-based services

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초록

The booming and novel emerging promising technologies on ubiquitous computing, GPS positioning, are facilitating the development of location-based services (LBSs). Particularly, understanding the dynamic topological structures of mobile users in LBSs who visit the same physical locations has many meaningful applications including friend recommendation, location-sensitive items recommendation, and privacy management. In this paper, we proposed a novel m-triadic concept-based approach for uncovering the social evolution of location-focused online communities in LBSs. Firstly, an m-triadic concept-based location-focused online communities detection approach is presented. Further, the social evolution of the community is characterized by the time series triadic concepts in which the objectives contain the targeted users.

키워드

LBSsLocation-focused online communitiesM-triadic conceptsTime series triadic conceptsSocial evolutionNETWORKS
제목
An efficient approach to understanding social evolution of location-focused online communities in location-based services
저자
Hao, FeiPark, Doo-SoonSim, Dae-SooKim, Min JeongJeong, Young-SikPark, Jong-HyukSeo, Hyung-Seok
DOI
10.1007/s00500-017-2627-2
발행일
2018-07
유형
Article
저널명
Soft Computing
22
13
페이지
4169 ~ 4174