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Social physics

Fatemeh Jafarlou
- 01 Feb 2022 - 
- Vol. 948, pp 1-148
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TLDR
The field of social physics has been a hot topic in the last few decades as mentioned in this paper , with many researchers venturing outside of their traditional domains of interest, but also taking from physics the methods that have proven so successful throughout the 19th and the 20th century.
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This article is published in Physics Reports.The article was published on 2022-02-01 and is currently open access. It has received 133 citations till now. The article focuses on the topics: Curiosity.

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Networks behind the morphology and structural design of living systems.

TL;DR: In this article , the authors present a review of network-based studies of the morphology and structural design of living systems, focusing on networks between cells, the topology of multicellular structures, neural interactions, fluid transportation networks, and anatomical networks.
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From Isles of Königsberg to Islets of Langerhans: Examining the Function of the Endocrine Pancreas Through Network Science

TL;DR: The present contribution highlights the recent findings obtained through advanced multicellular imaging techniques supported by network-based analyses, giving special emphasis to the current developments in both mouse and human islets, and outlines challenges offered by the multilayer network formalism in exploring the collective activity of islet cell populations.
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Economic state classification and portfolio optimisation with application to stagflationary environments

TL;DR: In this paper , the authors used new and recently introduced mathematical techniques to study multivariate time series pertaining to country inflation (CPI), economic growth (GDP) and equity index behaviours.
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Dual-domain analysis of gun violence incidents in the United States.

Nick James, +1 more
- 15 Aug 2022 - 
TL;DR: In this paper , the authors used techniques in both the time and frequency domain to provide a more complete understanding of gun violence dynamics, including periodicity of incidents, locations in time where behavioral changes occur, and shifts in gun violence patterns since April 2020.
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Universality of political corruption networks

TL;DR: In this paper , a comprehensive investigation of corruption networks related to political scandals in Spain and Brazil over nearly three decades is presented, showing that corruption networks of both countries share universal structural and dynamical properties, including similar degree distributions, clustering and assortativity coefficients, modular structure, and a growth process that is marked by the coalescence of network components due to a few recidivist criminals.
References
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Long short-term memory

TL;DR: A novel, efficient, gradient based method called long short-term memory (LSTM) is introduced, which can learn to bridge minimal time lags in excess of 1000 discrete-time steps by enforcing constant error flow through constant error carousels within special units.
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Deep learning

TL;DR: Deep learning is making major advances in solving problems that have resisted the best attempts of the artificial intelligence community for many years, and will have many more successes in the near future because it requires very little engineering by hand and can easily take advantage of increases in the amount of available computation and data.
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Collective dynamics of small-world networks

TL;DR: Simple models of networks that can be tuned through this middle ground: regular networks ‘rewired’ to introduce increasing amounts of disorder are explored, finding that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs.
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The Tragedy of the Commons

TL;DR: The population problem has no technical solution; it requires a fundamental extension in morality.
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