Abstract
User behavior changes over time under the influence of their activities. We contend that these activities are non-random behavior and have a desire to explore the underlying information behind these changes. In this paper, we analyze user behavior by using the check-in data in Location Based Social Networks (LBSNs), and examine whether they have the features of trend, periodicity and surprise or not. We explore some dynamics behaviors of people through their check-in times, and divide time into annually, monthly and even weekly analysis to find out the pattern of their behavior. Eventually, we found the check-in data do exhibit these three features by analyzing them deeply. The analytical work lays the foundation for the further recommendation research.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 21-25 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781538674475 |
| DOIs | |
| Publication status | Published - Jul 2 2018 |
| Event | 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018 - Yonago, Japan Duration: Jul 8 2018 → Jul 13 2018 |
Publication series
| Name | Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018 |
|---|
Conference
| Conference | 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018 |
|---|---|
| Country | Japan |
| City | Yonago |
| Period | 7/8/18 → 7/13/18 |
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All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Communication
- Information Systems
- Information Systems and Management
- Education
Cite this
User Behavior Analysis of Location-Based Social Network. / Zeng, Jun; He, Xin; Wu, Yingbo; Hirokawa, Sachio.
Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 21-25 8693321 (Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - User Behavior Analysis of Location-Based Social Network
AU - Zeng, Jun
AU - He, Xin
AU - Wu, Yingbo
AU - Hirokawa, Sachio
PY - 2018/7/2
Y1 - 2018/7/2
N2 - User behavior changes over time under the influence of their activities. We contend that these activities are non-random behavior and have a desire to explore the underlying information behind these changes. In this paper, we analyze user behavior by using the check-in data in Location Based Social Networks (LBSNs), and examine whether they have the features of trend, periodicity and surprise or not. We explore some dynamics behaviors of people through their check-in times, and divide time into annually, monthly and even weekly analysis to find out the pattern of their behavior. Eventually, we found the check-in data do exhibit these three features by analyzing them deeply. The analytical work lays the foundation for the further recommendation research.
AB - User behavior changes over time under the influence of their activities. We contend that these activities are non-random behavior and have a desire to explore the underlying information behind these changes. In this paper, we analyze user behavior by using the check-in data in Location Based Social Networks (LBSNs), and examine whether they have the features of trend, periodicity and surprise or not. We explore some dynamics behaviors of people through their check-in times, and divide time into annually, monthly and even weekly analysis to find out the pattern of their behavior. Eventually, we found the check-in data do exhibit these three features by analyzing them deeply. The analytical work lays the foundation for the further recommendation research.
UR - http://www.scopus.com/inward/record.url?scp=85065164058&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85065164058&partnerID=8YFLogxK
U2 - 10.1109/IIAI-AAI.2018.00015
DO - 10.1109/IIAI-AAI.2018.00015
M3 - Conference contribution
AN - SCOPUS:85065164058
T3 - Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018
SP - 21
EP - 25
BT - Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018
PB - Institute of Electrical and Electronics Engineers Inc.
ER -