Participatory cultural mapping based on collective behavior data in location-based social networks

D Yang, D Zhang, B Qu - ACM Transactions on Intelligent Systems and …, 2016 - dl.acm.org
Culture has been recognized as a driving impetus for human development. It co-evolves
with both human belief and behavior. When studying culture, Cultural Mapping is a crucial …

A statistical approach to participant selection in location-based social networks for offline event marketing

Y Liu, A Liu, X Liu, X Huang - Information Sciences, 2019 - Elsevier
Offline event marketing has become increasingly popular. As a large amount of data from
location-based social networks (LBSNs), such as Foursquare, Gowalla, and Facebook …

DeepMob: learning deep knowledge of human emergency behavior and mobility from big and heterogeneous data

X Song, R Shibasaki, NJ Yuan, X Xie, T Li… - ACM Transactions on …, 2017 - dl.acm.org
The frequency and intensity of natural disasters has increased significantly in recent
decades, and this trend is expected to continue. Hence, understanding and predicting …

Influence maximization based on network motifs in mobile social networks

X Zhang, L Xu, Z Xu - IEEE Transactions on Network Science …, 2022 - ieeexplore.ieee.org
A mobile social network (MSN) is a mobile communications system that involves the social
relationship of the users, in such a network, mobile users can spread information, opinions …

Content propagation for content-centric networking systems from location-based social networks

Y Liu, A Liu, NN Xiong, T Wang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Pervasive sensing devices make an unprecedented increase in data sensing, collection,
and processing in edge network and they form the edge content server system. The edge …

Spatio-temporal analysis of urban crime leveraging multisource crowdsensed data

B Zhou, L Chen, S Zhao, F Zhou, S Li, G Pan - Personal and Ubiquitous …, 2023 - Springer
Crime analysis is important for social security management. With the advance of crowd
sensing techniques, abundant multisource crowd sensed data could be used for crime …

Augmented reality as a new marketing strategy

C Gallardo, SP Rodríguez, IE Chango… - … Reality, Virtual Reality …, 2018 - Springer
This article proposes the development of an augmented reality application that allows the
user to preview in real time the product you want to buy, in the same way you can modify the …

Reinforcement learning–enabled efficient data gathering in underground wireless sensor networks

D Zhao, Z Zhou, S Wang, B Liu, W Gaaloul - Personal and Ubiquitous …, 2023 - Springer
Wireless underground sensor networks (WUSNs) consist of sensors that are buried in and
communicate through soil medium, while the channel quality of WUSNs is greatly impacted …

A survey on task and participant matching in mobile crowd sensing

YY Chen, P Lv, DK Guo, TQ Zhou, M Xu - Journal of Computer Science …, 2018 - Springer
Mobile crowd sensing is an innovative paradigm which leverages the crowd, ie, a large
group of people with their mobile devices, to sense various information in the physical world …

User recruitment system for efficient photo collection in mobile crowdsensing

E Wang, Y Yang, J Wu, K Lou, D Luan… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Mobile crowdsensing recruits a group of mobile users to cooperatively perform a common
sensing job with their smart devices. As a special issue, photo crowdsensing allows users to …