Report NEP-NET-2025-06-30
This is the archive for NEP-NET, a report on new working papers in the area of Network Economics. Alfonso Rosa GarcÃa issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-NET
The following items were announced in this report:
- Mahdi Kohan Sefidi, 2025. "The Impact of Node Addition and Deletion on Network Production Fluctuations," Papers 2505.10154, arXiv.org.
- Tomoo Kikuchi & Lien Pham, 2025. "Trade Networks and the Rise of a Global Currency," Papers 2505.22080, arXiv.org.
- Yang Xu, 2025. "Team Networks with Partially Observed Links," Papers 2505.08405, arXiv.org.
- Jin-Wook Chang & Grace Chuan, 2025. "Collateral Reuse and Financial Stability," Finance and Economics Discussion Series 2025-035, Board of Governors of the Federal Reserve System (U.S.).
- Arun G. Chandrasekhar & Matthew O. Jackson, 2025. "Experimenting with Networks," Papers 2506.11313, arXiv.org.
- Marc Homs-Dones & Robert S. MacKay & Bazil Sansom & Yijie Zhou, 2025. "Circular Directional Flow Decomposition of Networks," Papers 2506.12546, arXiv.org.
- Rafael Acuna & Aldie Alejandro & Robert Leung, 2025. "The Families that Stay Together: A Network Analysis of Dynastic Power in Philippine Politics," Papers 2505.21280, arXiv.org.
- Demir,Banu & Javorcik,Beata & Piyush Paritosh Panigrahi, 2025. "Breaking Invisible Barriers : Does Fast Internet Improve Access to Input Markets ?," Policy Research Working Paper Series 11122, The World Bank.
- Shota FUJISHIMA & Takara SAKAI & Yuki TAKAYAMA, 2025. "Quantifying Congestion Externalities in Road Networks: A structural estimation approach using stochastic evolutionary model," Discussion papers 25055, Research Institute of Economy, Trade and Industry (RIETI).
- Mattia Marzi & Francesca Giuffrida & Diego Garlaschelli & Tiziano Squartini, 2025. "Reproducing the first and second moment of empirical degree distributions," Papers 2505.10373, arXiv.org.
- Liexin Cheng & Xue Cheng & Shuaiqiang Liu, 2025. "Fast Learning in Quantitative Finance with Extreme Learning Machine," Papers 2505.09551, arXiv.org, revised May 2025.