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Post #6091 917
Post #6087 1.65K
Informal connections outweigh coauthorship ties in academic impact

The term “invisible college” refers to communication networks that help scientists exchange information and advance knowledge. These networks create social capital, granting access to resources like new ideas and support. Measuring those intangible exchanges is an empirical challenge. Here we approximate these ties through the analysis of the “thank you” notes appended to journal articles. Our findings show that scholars disconnected from this layer of academic social capital have lower publication impact. We also show that informal ties provide support not captured by coauthorship ties, which reflect a more rigid form of collaboration. Documenting how informal structures of support operate can help leverage collective resources in the pursuit of shared intellectual goals.

https://www.pnas.org/doi/10.1073/pnas.2511050123
PNAS Informal connections outweigh coauthorship ties in academic impact | PNAS Past work has documented the importance of formal collaboration, particularly coauthorship, in increasing research productivity and innovation. How...
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Post #6083 1.5K
#PhD position in Responsible AI/Computational Social Science at Politecnico di Milano

📍 Milan 🇮🇹
🔗 bit.ly/4dUbC4i
Post #6080 1.61K
ICTP Hands-On Research in Complex Systems School

The School provides early stage researchers with interactive experiences of hands-on research involving table-top experiments with computer data acquisition and modeling. Participants will also take part in professional development of improved scientific communication in English.

https://indico.ictp.it/event/11156/
  • 👍 1
Post #6078 1.23K
Theoretical computer science notes from Epsilon Camp for exceptional 11- and 12-year-olds
by Scott Aaronson
https://www.scottaaronson.com/tcs.pdf

Lecture 1: Bits
Lecture 2: Gates
Lecture 3: Finite Automata
Lecture 4: Turing Machines
Lecture 5: Big Numbers
Lecture 6: Complexity, or Number of Operations
Lecture 7: Polynomial vs. Exponential
Lecture 8: The P vs. NP Problem
Lecture 9: NP-completeness
Lecture 10: Foundations of Cryptography
Lecture 11: Public-Key Cryptography and Quantum Computing
Post #6077 1K
Message passing and cyclicity transition

Message passing, also known as belief propagation, is a versatile framework for analyzing models defined on graphs. Its most prototypical application is percolation; yet, the interpretation of the message passing formulation of percolation remains elusive. We show that the message passing solutions commonly associated with the probability of belonging to the giant component actually identify reachability from cycles. This interpretation generally applies to bond and site percolation on any directed or undirected networks. Our findings highlight the distinction between transition in cyclicity and the emergence of the giant component.

https://arxiv.org/abs/2604.01201
arXiv.org Message passing and cyclicity transition Message passing, also known as belief propagation, is a versatile framework for analyzing models defined on graphs. Its most prototypical application is percolation; yet, the interpretation of the...
Post #6075 1.22K
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