상세 보기
An efficient approach to understanding social evolution of location-focused online communities in location-based services
- Hao, Fei;
- Park, Doo-Soon;
- Sim, Dae-Soo;
- Kim, Min Jeong;
- Jeong, Young-Sik;
- 외 2명
WEB OF SCIENCE
7SCOPUS
8초록
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
- 제목
- An efficient approach to understanding social evolution of location-focused online communities in location-based services
- 저자
- Hao, Fei; Park, Doo-Soon; Sim, Dae-Soo; Kim, Min Jeong; Jeong, Young-Sik; Park, Jong-Hyuk; Seo, Hyung-Seok
- 발행일
- 2018-07
- 유형
- Article
- 저널명
- Soft Computing
- 권
- 22
- 호
- 13
- 페이지
- 4169 ~ 4174