Tootfinder

Network evolution analysis: a usage-centric approach applied on cycling infrastructure
https://josis.org/index.php/josis/article/view/379

Survey: local news outlets make up 51% of INN's 500 members, digital-first outlets employ ~3,200 journalists, foundation funding is 49% of revenue, and more (INN News)
https://news.inn.org/highlights-2025-inn-index/

Increase in local members and topical news coverage: Highlights from the 2025 INN Index survey - INN News
For the first time, local news outlets make up the largest segment of the Institute for Nonprofit News’ member network, according to the latest Index survey.

Unraveling Human Capital Complexity: Economic Complexity Analysis of Occupations and Skills
Soohyoung Lee, Dawoon Jeong, Jeong-Dong Lee
https://arxiv.org/abs/2506.12960

Unraveling Human Capital Complexity: Economic Complexity Analysis of Occupations and Skills
This study investigates the structural embeddedness of skills in the division of labor. Drawing on O*NET data covering 120 skills across 872 U.S. occupations, we identify three skill communities: general, cognitive, and physical skills. Compressing the connectivity in the occupation-skill network through the Method of Reflection, we derive the Occupational Complexity Index (OCI) and the Skill Complexity Index (SCI). They unpack the structure of the occupation skill network that general skills a…

(1/3) Please join me today on Zoom at 12pm ET / 11am CT / 10am MT / 9am PT for "Beyond the Algorithmic Feed," a free MediaEd Club webinar for the Media Education Lab:
https://mediaeducationlab.com/index.php/events/beyond-algorithmic-feed
While som…

This https://arxiv.org/abs/2407.14272 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

Global Balance and Systemic Risk in Financial Correlation Networks
The global balance index is used in the network literature to quantify how balanced a signed network is. In this paper we show that the global balance index of financial correlation networks can be used as a systemic risk measure. We define the global balance index of a network starting from a diffusive process that describes how the information spreads across nodes in a network, providing an alternative derivation to the usual combinatorial one. The steady state of this process is the solution…

Inverse-designed nanophotonic neural network accelerators for ultra-compact optical computing
Joel Sved, Shijie Song, Liwei Li, George Li, Debin Meng, Xiaoke Yi
https://arxiv.org/abs/2506.06150

Inverse-designed nanophotonic neural network accelerators for ultra-compact optical computing
Inverse-designed nanophotonic devices offer promising solutions for analog optical computation. High-density photonic integration is critical for scaling such architectures toward more complex computational tasks and large-scale applications. Here, we present an inverse-designed photonic neural network (PNN) accelerator on a high-index contrast material platform, enabling ultra-compact and energy-efficient optical computing. Our approach introduces a wave-based inverse-design method based on th…

Can Artificial Intelligence Trade the Stock Market?
J\k{e}drzej Maskiewicz, Pawe{\l} Sakowski
https://arxiv.org/abs/2506.04658 https://

Can Artificial Intelligence Trade the Stock Market?
The paper explores the use of Deep Reinforcement Learning (DRL) in stock market trading, focusing on two algorithms: Double Deep Q-Network (DDQN) and Proximal Policy Optimization (PPO) and compares them with Buy and Hold benchmark. It evaluates these algorithms across three currency pairs, the S&P 500 index and Bitcoin, on the daily data in the period of 2019-2023. The results demonstrate DRL's effectiveness in trading and its ability to manage risk by strategically avoiding trades in unfavorab…