2 citations · 2 across the 4 of their papers we have counts for
4 papers
Learning Demographic-Conditioned Mobility Trajectories with Aggregate Supervision
Jessie Z. Li, Zhiqing Hong, Toru Shirakawa +1
Human mobility trajectories are widely studied in public health and social science, where different demographic groups exhibit significantly different mobility patterns. However, e…
LLMs generate structurally realistic social networks but overestimate political homophily
Serina Chang, Alicja Chaszczewicz, Emma Wang +3
Generating social networks is essential for many applications, such as epidemic modeling and social simulations. The emergence of generative AI, especially large language models (L…
Learning production functions for supply chains with graph neural networks
Serina Chang, Zhiyin Lin, Benjamin Yan +8
The global economy relies on the flow of goods over supply chain networks, with nodes as firms and edges as transactions between firms. While we may observe these external transact…
Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting
Serina Chang, Frederic Koehler, Zhaonan Qu +2
A common network inference problem, arising from real-world data constraints, is how to infer a dynamic network from its time-aggregated adjacency matrix and time-varying marginals…