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Predicting system dynamics of pervasive growth patterns in complex systems [PDF]

open access: yesScientific Reports
Predicting dynamic behaviors is one of the goals of science in general as well as essential to many specific applications of human knowledge to real world systems.
Leila Hedayatifar   +10 more
doaj   +2 more sources

The growing amplification of social media: measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009–2020

open access: yesEPJ Data Science, 2021
Working from a dataset of 118 billion messages running from the start of 2009 to the end of 2019, we identify and explore the relative daily use of over 150 languages on Twitter.
Thayer Alshaabi   +6 more
doaj   +1 more source

Complex Systems

open access: yes, 2020
Complex systems are systems that display unique properties such as emergence and self-organization. Their behavior is inherently unpredictable due to nonlinear relationships between interdependent parts and processes. This makes complex systems different from systems that are just complicated by possessing many parts.
J. Řičica, P. Doberský
  +8 more sources

Ecological and Coevolutionary Dynamics in Modern Markets Yield Nonstationarity in Market Efficiencies

open access: yesComplexity, 2022
The U.S. stock market is one of the largest and most complex marketplaces in the global financial system. Over the past several decades, this market has evolved at multiple structural and temporal scales.
Colin M. Van Oort   +4 more
doaj   +1 more source

Kernel-based online learning for real-time voltage control in distribution networks

open access: yesIET Smart Grid, 2020
This paper presents a new data-driven voltage control approach for distribution networks based on kernel methods. Voltage control becomes more and more challenging due to the increased penetration of Distributed Generation (DG), bidirectional power flow ...
Lisette Cupelli   +4 more
doaj   +1 more source

Modeling Complex Systems: A Case Study of Compartmental Models in Epidemiology

open access: yesComplexity, 2022
Compartmental epidemic models have been widely used for predicting the course of epidemics, from estimating the basic reproduction number to guiding intervention policies.
Alexander F. Siegenfeld   +2 more
doaj   +1 more source

Democratising Complex System Modelling

open access: yesScientific Reports, 2023
Abstract In the contemporary context of an acute need for sustainability and swift response to imminent crises such as global warming, pandemics and economic system disruptions, the focus on responsible decision making, ethical risk assessment and mitigation at all organizational levels is an overarching goal.
Anabele-Linda Pardi, Elizaveta Burina
openaire   +3 more sources

Toward Prevention of Adverse Events Using Anticipatory Analytics

open access: yesProgress in Preventive Medicine, 2020
Introduction:. Electronic Medical Records provide new opportunities for studying the historical condition and dynamics of individual patients and populations to enable new insights that may lead to improved care and treatment.
Joseph Norman, PhD,   +5 more
doaj   +1 more source

Identification of mutations in SARS-CoV-2 PCR primer regions

open access: yesScientific Reports, 2022
Due to the constantly increasing number of mutations in the SARS-CoV-2 genome, concerns have emerged over the possibility of decreased diagnostic accuracy of reverse transcription-polymerase chain reaction (RT-PCR), the gold standard diagnostic test for ...
Anikó Mentes   +7 more
doaj   +1 more source

Sentiment and structure in word co-occurrence networks on Twitter

open access: yesApplied Network Science, 2022
We explore the relationship between context and happiness scores in political tweets using word co-occurrence networks, where nodes in the network are the words, and the weight of an edge is the number of tweets in the corpus for which the two connected ...
Mikaela Irene Fudolig   +4 more
doaj   +1 more source

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