<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Working Papers | Junyao He | Academic Portfolio</title><link>https://junyaohe001.github.io/working-papers/</link><atom:link href="https://junyaohe001.github.io/working-papers/index.xml" rel="self" type="application/rss+xml"/><description>Working Papers</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 06 Jan 2026 00:00:00 +0000</lastBuildDate><image><url>https://junyaohe001.github.io/media/icon_hu14599980757415029838.png</url><title>Working Papers</title><link>https://junyaohe001.github.io/working-papers/</link></image><item><title>Measuring AI-Related Cooperation, Competition, and Innovation across Global Subnational Regions Using News Text</title><link>https://junyaohe001.github.io/working-papers/ai-regional-networks/</link><pubDate>Tue, 06 Jan 2026 00:00:00 +0000</pubDate><guid>https://junyaohe001.github.io/working-papers/ai-regional-networks/</guid><description>&lt;p>&lt;strong>Status:&lt;/strong> In preparation&lt;/p>
&lt;p>This project develops a GeoAI-based framework for measuring AI-related cooperation, competition, and innovation across global subnational regions using large-scale news data. It connects relational measures of technological activity with debates in economic geography, urban AI, and regional development.&lt;/p></description></item><item><title>Different Strokes for Different Folks: Heterogeneity, Teleworkability, and the Restructuring of Dutch Internal Migration Networks</title><link>https://junyaohe001.github.io/working-papers/dutch-migration-networks/</link><pubDate>Mon, 05 Jan 2026 00:00:00 +0000</pubDate><guid>https://junyaohe001.github.io/working-papers/dutch-migration-networks/</guid><description>&lt;p>&lt;strong>Status:&lt;/strong> Finalizing&lt;/p>
&lt;p>This article investigates how teleworkability is associated with heterogeneous relocation responses across demographic groups in the Netherlands. It uses IPF-based population-flow synthesis to reconstruct layered relocation networks and evaluate unequal mobility outcomes.&lt;/p></description></item><item><title>Revealing the Global Mobility and Driving Forces of Digital Nomads through Network Analysis and Interpretable Machine Learning</title><link>https://junyaohe001.github.io/working-papers/digital-nomad-mobility/</link><pubDate>Sun, 04 Jan 2026 00:00:00 +0000</pubDate><guid>https://junyaohe001.github.io/working-papers/digital-nomad-mobility/</guid><description>&lt;p>&lt;strong>Status:&lt;/strong> Finalizing&lt;/p>
&lt;p>This article conceptualises digital-nomad mobility as an emerging form of digitally enabled urban mobility. It combines network analysis and interpretable machine learning to explain city attractiveness, cross-city flows, and the uneven geography of mobile remote work.&lt;/p></description></item><item><title>Social Media Influence on Citizen Power in Online Planning Controversies: An Edge-based Social Network Analysis of Network Power</title><link>https://junyaohe001.github.io/working-papers/edge-based-network-power/</link><pubDate>Sat, 03 Jan 2026 00:00:00 +0000</pubDate><guid>https://junyaohe001.github.io/working-papers/edge-based-network-power/</guid><description>&lt;p>&lt;strong>Status:&lt;/strong> Under review&lt;/p>
&lt;p>The article develops an edge-based social network approach to examine how networked power is distributed and reproduced in online planning controversies. It focuses on relational mechanisms between actors rather than treating influence solely as an individual node attribute.&lt;/p></description></item><item><title>From Interaction Networks to Interpretive Samples: Networked Discourse Analysis for Digital Social Research</title><link>https://junyaohe001.github.io/working-papers/networked-discourse-analysis/</link><pubDate>Fri, 02 Jan 2026 00:00:00 +0000</pubDate><guid>https://junyaohe001.github.io/working-papers/networked-discourse-analysis/</guid><description>&lt;p>&lt;strong>Status:&lt;/strong> Under review&lt;/p>
&lt;p>This article develops a general framework that connects interaction-network analysis with theoretically informed interpretive sampling. The approach is designed to measure networked power and discursive influence while retaining the contextual depth required for digital social research.&lt;/p></description></item><item><title>Teleworkability and the Evolution of Job-Home Networks after the COVID-19 Shock: Causal Evidence from the Netherlands</title><link>https://junyaohe001.github.io/working-papers/teleworkability-job-home-networks/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://junyaohe001.github.io/working-papers/teleworkability-job-home-networks/</guid><description>&lt;p>&lt;strong>Status:&lt;/strong> Under review&lt;/p>
&lt;p>This article examines how actual remote-work patterns reshaped Dutch municipal job-home networks after the COVID-19 shock. It uses spatial difference-in-differences models and Bartik shift-share designs to estimate direct and spillover effects on commuting relations, employment-residence linkages, and urban-regional network structure.&lt;/p></description></item></channel></rss>