First, we model the heterogeneous urban mobility data collected from multiple sources as an SHN using a probabilistic weighted degree centrality measure. To ...

Assessment of quantity, quality, and accessibility determines whether the UGS are important social benefits. The travel preference of urban residents is a good ...

First, we model the heterogeneous urban mobility data collected from multiple sources as an SHN using a probabilistic weighted degree centrality measure. To ...

can collectively learn the network embeddings of an SHN modeled through urban mobility data for the identification and quantification of complex urban ...

NodeSense2Vec: Spatiotemporal Context-Aware Network Embedding for Heterogeneous Urban Mobility Data. DK Chandra, J Leopold, Y Fu. 2021 IEEE International ...

In this paper, we study mobility data from a major Brazilian city from a geographical viewpoint using a Complex Network approach. The case study is based on ...

NodeSense2Vec: Spatiotemporal Context-Aware Network Embedding for Heterogeneous Urban Mobility Data. DK Chandra, J Leopold, Y Fu. 2021 IEEE International ...

Transportation, SUSTech, 2019. NodeSense2Vec [Spatiotemporal Context-Aware Network Embedding for Heterogeneous Urban Mobility Data], Social, UCF, 2021. Liu et ...

Dakshak Keerthi Chandra, Jennifer L. Leopold, Yanjie Fu: NodeSense2Vec: Spatiotemporal Context-Aware Network Embedding for Heterogeneous Urban Mobility Data ...

NodeSense2Vec: Spatiotemporal Context-Aware Network Embedding for Heterogeneous Urban Mobility Data ... Heterogeneous Human Mobility Data · pdf icon · hmtl icon.