output
20202026
most citedDynamic Spatiotemporal Graph Convolutional Neural Networks for Traffic Data Imputation with Complex Missing Patterns

111 citations

Showing 2023Show all

5 papers · 1 filter

cs.SI2023★ 9 cited

Identifying hubs in directed networks

Alec Kirkley

Nodes in networks that exhibit high connectivity, also called ``hubs'', play a critical role in determining the structural and functional properties of networked systems. However,…

cs.SI2023★ 8 cited

Normalized mutual information is a biased measure for classification and community detection

Maximilian Jerdee, Alec Kirkley, M. E. J. Newman

Normalized mutual information is widely used as a similarity measure for evaluating the performance of clustering and classification algorithms. In this paper, we argue that result…

physics.soc-ph2023★ 5 cited

Characterizing network circuity among heterogeneous urban amenities

Bibandhan Poudyal, Gourab Ghoshal, Alec Kirkley

The spatial configuration of urban amenities and the streets connecting them collectively provide the structural backbone of a city, influencing its accessibility, vitality, and ul…

physics.soc-ph2023★ 11 cited

Heterogeneous message passing for heterogeneous networks

George T. Cantwell, Alec Kirkley, Filippo Radicchi

Message passing (MP) is a computational technique used to find approximate solutions to a variety of problems defined on networks. MP approximations are generally accurate in local…

physics.soc-ph2023

Quantifying the uneven efficiency benefits of ridesharing market integration

Xiaohan Wang, Zhan Zhao, Hongmou Zhang +2

Ridesharing is recognized as one of the key pathways to sustainable urban mobility. With the emergence of Transportation Network Companies (TNCs) such as Uber and Lyft, the ridesha…