TY - GEN
T1 - Toward estimating user-social event distance
T2 - 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016
AU - Yi, Fei
AU - Guo, Bin
AU - Yu, Zhiwen
AU - Lv, Qin
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/9/12
Y1 - 2016/9/12
N2 - On-site user w.r.t social events are valuable, from whom, government/police could obtain meaningful information which contributes to understand the progress of the event or investigate suspects when the event is associated with crime or terrorist. However, due to the high uncertainty of human mobility patterns, it is hard to identify on-site users while social event happens. In this paper, we propose a Fused fEature Gaussian prOcess Rgression (FEGOR) model, which employs three features from online social networks: mobility influence, content similarity, and social relationship to estimate the distance between user and social event, based on which, we could accomplish the problem of identifying the on-site users. Experiment results on a realworld Twitter dataset demonstrate our method outperforms state-of-The-Art methods.
AB - On-site user w.r.t social events are valuable, from whom, government/police could obtain meaningful information which contributes to understand the progress of the event or investigate suspects when the event is associated with crime or terrorist. However, due to the high uncertainty of human mobility patterns, it is hard to identify on-site users while social event happens. In this paper, we propose a Fused fEature Gaussian prOcess Rgression (FEGOR) model, which employs three features from online social networks: mobility influence, content similarity, and social relationship to estimate the distance between user and social event, based on which, we could accomplish the problem of identifying the on-site users. Experiment results on a realworld Twitter dataset demonstrate our method outperforms state-of-The-Art methods.
KW - Content Similarity
KW - Mobility Influence
KW - On-Site User
KW - Social Relationship
KW - User-Social Event Distance
UR - http://www.scopus.com/inward/record.url?scp=84991109258&partnerID=8YFLogxK
U2 - 10.1145/2968219.2971430
DO - 10.1145/2968219.2971430
M3 - 会议稿件
AN - SCOPUS:84991109258
T3 - UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
SP - 233
EP - 236
BT - UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
PB - Association for Computing Machinery, Inc
Y2 - 12 September 2016 through 16 September 2016
ER -
