Tootfinder

The @… community has published their report about the very successful 2025 Culture Community Plenary: CCP 5: “Shared Data – Shared Practice – Shared Knowledge” and the Voices of the Community, at the Akadiemie der Wissenschaften und Literatur in Mainz, summarized by Zahia Schlott

🚀 Ein ausführlicher Rückblick auf unser 5. CCP vom 24.– 26.09. 2025 in Mainz – einschließlich der Stimmen von Euch, unseren Communities – ist jetzt auf unserem #4CulturePortal verfügbar: https://nfdi4culture.de/id/E6647

Exciting addition to the YDS faculty! Acclaimed poet-theologian Pšdraig œ Tuama joining us this summer as Professor in the Practice of Spirituality.
Read Dean Greg Sterling's announcement to the YDS community. https://divinity.yale.edu/news/2025-12

Great to see @… running with #ProtocolsForPublishers
Chad is a huge open protocols advocate, and fortunately he's not completely engineering brained and has been spending time at the Internet Governance Forum and other important venues that are m…

Fairness in Token Delegation: Mitigating Voting Power Concentration in DAOs
Johnnatan Messias, Ayae Ide
https://arxiv.org/abs/2510.05830 https://arxiv.org/…

Fairness in Token Delegation: Mitigating Voting Power Concentration in DAOs
Decentralized Autonomous Organizations (DAOs) aim to enable participatory governance, but in practice face challenges of voter apathy, concentration of voting power, and misaligned delegation. Existing delegation mechanisms often reinforce visibility biases, where a small set of highly ranked delegates accumulate disproportionate influence regardless of their alignment with the broader community. In this paper, we conduct an empirical study of delegation in DAO governance, combining on-chain da…

Community Detection through Recursive Partitioning in Bayesian Framework
Yuhua Zhang, Kori S. Zachrison, Renee Y. Hsia, Jukka-Pekka Onnela
https://arxiv.org/abs/2509.23536 https…

Community Detection through Recursive Partitioning in Bayesian Framework
Community detection involves grouping the nodes in the network and is one of the most-studied tasks in network science. Conventional methods usually require the specification of the number of communities $K$ in the network. This number is determined heuristically or by certain model selection criteria. In practice, different model selection criteria yield different values of $K$, leading to different results. We propose a community detection method based on recursive partitioning within the Bay…