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[HTML][HTML] Tools to foster responsibility in digital solutions that operate with or without artificial intelligence: a sco** review for health and innovation policymakers
Background Digital health solutions that operate with or without artificial intelligence (D/AI)
raise several responsibility challenges. Though many frameworks and tools have been …
raise several responsibility challenges. Though many frameworks and tools have been …
Statistical inference of assortative community structures
L Zhang, TP Peixoto - Physical Review Research, 2020 - APS
We develop a principled methodology to infer assortative communities in networks based on
a nonparametric Bayesian formulation of the planted partition model. We show that this …
a nonparametric Bayesian formulation of the planted partition model. We show that this …
Blockchain network analysis: A comparative study of decentralized banks
Decentralized finance (DeFi) is known for its unique mechanism design, which applies smart
contracts to facilitate peer-to-peer transactions. The decentralized bank is a typical DeFi …
contracts to facilitate peer-to-peer transactions. The decentralized bank is a typical DeFi …
How is government embedded in innovation process for breakthroughs? A meta-synthesis of qualitative case studies
JH Meng, J Wang, Y Liu - Technological Forecasting and Social Change, 2023 - Elsevier
The government seeks to accelerate scientific and technological progress to benefit society.
However, the government may promote or hinder breakthrough innovation. It is difficult to …
However, the government may promote or hinder breakthrough innovation. It is difficult to …
How to solve combinatorial optimization problems using real quantum machines: A recent survey
A combinatorial optimization problem (COP) is the problem of finding the optimal solution in
a finite set. When the size of the feasible solution set is large, the complexity of the problem …
a finite set. When the size of the feasible solution set is large, the complexity of the problem …
The atlas for the aspiring network scientist
M Coscia - arxiv preprint arxiv:2101.00863, 2021 - arxiv.org
Network science is the field dedicated to the investigation and analysis of complex systems
via their representations as networks. We normally model such networks as graphs: sets of …
via their representations as networks. We normally model such networks as graphs: sets of …
Is decentralized finance actually decentralized? a social network analysis of the aave protocol on the ethereum blockchain
Decentralized finance (DeFi) has the potential to disrupt centralized finance by validating
peer-to-peer transactions through tamper-proof smart contracts, thus significantly lowering …
peer-to-peer transactions through tamper-proof smart contracts, thus significantly lowering …
Aesthetic emotions are affected by context: a psychometric network analysis
Aesthetic emotions are defined as emotions arising when a person evaluates a stimulus for
its aesthetic appeal. Whether these emotions are unique to aesthetic activities is debated …
its aesthetic appeal. Whether these emotions are unique to aesthetic activities is debated …
Measuring the scope of pro-Kremlin disinformation on Twitter
Y Golovchenko - Humanities and Social Sciences Communications, 2020 - nature.com
This article examines the scope of pro-Kremlin disinformation about Crimea. I deploy content
analysis and a social network approach to analyze tweets related to the region. I find that pro …
analysis and a social network approach to analyze tweets related to the region. I find that pro …
Core-periphery detection in hypergraphs
Core-periphery detection is a key task in exploratory network analysis where one aims to
find a core, a set of nodes well connected internally and with the periphery, and a periphery …
find a core, a set of nodes well connected internally and with the periphery, and a periphery …