Social sensing: A new approach to understanding our socioeconomic environments

Y Liu, X Liu, S Gao, L Gong, C Kang, Y Zhi… - Annals of the …, 2015 - Taylor & Francis
The emergence of big data brings new opportunities for us to understand our socioeconomic
environments. We use the term social sensing for such individual-level big geospatial data …

Participatory cultural map** 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 Map** is a crucial …

Recognizing city identity via attribute analysis of geo-tagged images

B Zhou, L Liu, A Oliva, A Torralba - … 6-12, 2014, Proceedings, Part III 13, 2014 - Springer
After hundreds of years of human settlement, each city has formed a distinct identity,
distinguishing itself from other cities. In this work, we propose to characterize the identity of a …

Predicting economic growth by region embedding: A multigraph convolutional network approach

B Hui, D Yan, WS Ku, W Wang - Proceedings of the 29th ACM …, 2020 - dl.acm.org
With the rapid progress of global urbanization and function division among different
geographical regions, it is of urgent need to develop methods that can find regions of …

A similarity approach to cities and features

LF Costa, EK Tokuda - The European Physical Journal B, 2022 - Springer
Characterizing the structure of cities constitutes an important task, since the identification of
similar cities can promote sharing of respective experiences. In the present work, we …

Measure of landmark semantic salience through geosocial data streams

T Quesnot, S Roche - ISPRS International Journal of Geo-Information, 2014 - mdpi.com
Research in the area of spatial cognition demonstrated that references to landmarks are
essential in the communication and the interpretation of wayfinding instructions for human …

Efficient similar region search with deep metric learning

Y Liu, K Zhao, G Cong - Proceedings of the 24th ACM SIGKDD …, 2018 - dl.acm.org
With the proliferation of mobile devices and location-based services, rich geo-tagged data is
becoming prevalent and this offer great opportunities to understand different geographical …

[PDF][PDF] Predicting Your Next Stop-over from Location-based Social Network Data with Recurrent Neural Networks.

E Palumbo, G Rizzo, R Troncy, E Baralis - RecTour@ RecSys, 2017 - core.ac.uk
Location-based Social Networks (LBSN) allow users to check-in in a Point-of-Interest (POI) 1
and share their activities with friends, providing publicly available data about their behavior …

Modeling urban behavior by mining geotagged social data

E Çelikten, G Le Falher… - IEEE transactions on Big …, 2016 - ieeexplore.ieee.org
Data generated on location-based social networks provide rich information on the
whereabouts of urban dwellers. Specifically, such data reveal who spends time where …

A data-driven approach to exploring similarities of tourist attractions through online reviews

G McKenzie, B Adams - Journal of Location Based Services, 2018 - Taylor & Francis
The motivation for tourists to visit a city is often driven by the uniqueness of the attractions
accessible within the region. The draw to these locations varies by visitor as some travellers …