TY - GEN
T1 - User Behavior Analysis of Location-Based Social Network
AU - Zeng, Jun
AU - He, Xin
AU - Wu, Yingbo
AU - Hirokawa, Sachio
N1 - Funding Information:
ACKNOWLEDGMET This research is supported by the National Natural Science Foundation of China (Grant No. 61502062, Grant No. 61672117 and Grant No. 61602070), the Scientific Research Foundation for the Returned Overseas Chinese Scholars (State Education Ministry), and the Fundamental Research Funds for the Central Universities Project No. 2015CDJXY.
Publisher Copyright:
© 2018 IEEE.
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.
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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.
T2 - 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018
Y2 - 8 July 2018 through 13 July 2018
ER -