20 years of network community detection | Nature Physics
https://www.nature.com/articles/s41567-022-01716-7
The 20th anniversary of the Girvan-Newman paper is a good time to check how network community detection is doing. Take a look at our overview of the field, just out in Nature Physics! Delightful (first) collaboration with network science giant Mark Newman.
https://www.nature.com/articles/s41567-022-01716-7
The 20th anniversary of the Girvan-Newman paper is a good time to check how network community detection is doing. Take a look at our overview of the field, just out in Nature Physics! Delightful (first) collaboration with network science giant Mark Newman.
Nature
20 years of network community detection
Nature Physics - A fundamental technical challenge in the analysis of network data is the automated discovery of communities — groups of nodes that are strongly connected or that share...
"The Kosterlitz-Thouless phase transition: an introduction for the intrepid student" (by Victor Drouin-Touchette):
https://t.co/zcm8uwcKvN
"This is a set of notes recalling some of the most important results on the XY model from the ground up. They are meant for a junior researcher wanting to get accustomed to the Kosterlitz-Thouless phase transition in the context of the 2D classical XY model."
https://t.co/zcm8uwcKvN
"This is a set of notes recalling some of the most important results on the XY model from the ground up. They are meant for a junior researcher wanting to get accustomed to the Kosterlitz-Thouless phase transition in the context of the 2D classical XY model."
Modelling railway delay propagation as diffusion-like spreading https://t.co/t9vpTJtmW6
SpringerOpen
Modelling railway delay propagation as diffusion-like spreading - EPJ Data Science
Railway systems form an important means of transport across the world. However, congestions or disruptions may significantly decrease these systems’ efficiencies, making predicting and understanding the resulting train delays a priority for railway organisations.…
If you're looking for a postdoc position, there is no better one than this one at #sfiscience:
Interdisciplinary scientists in any field (including those in AI / ML / Cogsci) are encouraged to apply! Applications due October 14, 2020.
https://apply-sfi.smapply.org/prog/complexity_postdoctoral_fellowship_/
Interdisciplinary scientists in any field (including those in AI / ML / Cogsci) are encouraged to apply! Applications due October 14, 2020.
https://apply-sfi.smapply.org/prog/complexity_postdoctoral_fellowship_/
The potential for cascading effects overwhelming ecological and social resilience.
https://www.pnas.org/doi/epdf/10.1073/pnas.2108146119
https://www.pnas.org/doi/epdf/10.1073/pnas.2108146119
Are complex systems predictable? Is the butterfly effect real? Here's a seminal 1979 paper by David Ruelle on how fluctuations on the smallest scale propagate to the large, chaotic fluid-scale tmosphere dynamics
https://www.sciencedirect.com/science/article/abs/pii/0375960179906534
https://www.sciencedirect.com/science/article/abs/pii/0375960179906534
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There are 2 openings for #PhD positions in my research group mds.univie.ac.at , see tinyurl.com/2p93hzsn and tinyurl.com/bddaf3cf for the announcments. Come to #Vienna to advance the Mathematics of Data Science!
univis.univie.ac.at
University of Vienna
Information theory: A foundation for complexity science
https://t.co/lpgm7eHRJ7
https://t.co/lpgm7eHRJ7
Complexity Digest
Information theory: A foundation for complexity science
Amos Golan and John Harte PNAS 119 (33) e2119089119 Modeling and inference are central to most areas of science and especially to evolving and complex systems. Critically, the information we have i…
School on Information, Noise, and Physics of Life
19-30 Sep 2022, Nis - Serbia
https://indico.ictp.it/event/9826/
19-30 Sep 2022, Nis - Serbia
https://indico.ictp.it/event/9826/
We are looking for two postdoctoral fellows in neural data science at the Department of Mathematical Sciences.
https://www.jobbnorge.no/en/available-jobs/job/229369/2-postdoctoral-fellows-in-neural-data-science
#postdoc
https://www.jobbnorge.no/en/available-jobs/job/229369/2-postdoctoral-fellows-in-neural-data-science
#postdoc
Jobbnorge.no
2 Postdoctoral Fellows in neural data science (229369) | NTNU - Norwegian University of Science and Technology
Job title: 2 Postdoctoral Fellows in neural data science (229369), Employer: NTNU - Norwegian University of Science and Technology, Deadline: The application deadline has passed
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Swimming in Complex Fluids
Saverio E. Spagnolie, Patrick T. Underhill
https://arxiv.org/abs/2208.03537
We review the literature on swimming in complex fluids. A classification is proposed by comparing the length and time scales of a swimmer with those of nearby obstacles, interpreted broadly, extending from rigid or soft confining boundaries to molecules which confer the bulk fluid with complex stresses. A third dimension in the classification is the concentration of swimmers, which incorporates fluids whose complexity arises purely by the collective motion of swimming organisms. For each of the eight system classes which we identify we provide a background and describe modern research findings. While some classes have seen a great deal of attention for decades, others remain uncharted waters still open and awaiting exploration.
Saverio E. Spagnolie, Patrick T. Underhill
https://arxiv.org/abs/2208.03537
We review the literature on swimming in complex fluids. A classification is proposed by comparing the length and time scales of a swimmer with those of nearby obstacles, interpreted broadly, extending from rigid or soft confining boundaries to molecules which confer the bulk fluid with complex stresses. A third dimension in the classification is the concentration of swimmers, which incorporates fluids whose complexity arises purely by the collective motion of swimming organisms. For each of the eight system classes which we identify we provide a background and describe modern research findings. While some classes have seen a great deal of attention for decades, others remain uncharted waters still open and awaiting exploration.
👍1
2022 ICTP Dirac Medal Winners Announced: Three share prize for fundamental work in statistical mechanics
Video Explainer: ICTP 2022 Dirac Medallists' Work
European Physical Journal H published a conversation with Joel about his life and career. Read it here.
Video Explainer: ICTP 2022 Dirac Medallists' Work
European Physical Journal H published a conversation with Joel about his life and career. Read it here.
Complexity matters: the fiftieth anniversary of Philip Anderson’s landmark essay ‘More is Different’.
https://www.nature.com/articles/s41567-022-01734-5
The point of More is Different is that a reductionist approach does not imply a ‘constructionist’ one. One cannot use the laws learned at a certain scale as building blocks to directly explain the emergent properties at higher scales. Reality is a collection of layers of emergence, and all the laws and frameworks needed to understand them share the same universal and fundamental quality. From this perspective, chemistry is not just applied physics, biology is not just applied chemistry — all the way up to sociology, which is not just applied psychology.
https://www.nature.com/articles/s41567-022-01734-5
The point of More is Different is that a reductionist approach does not imply a ‘constructionist’ one. One cannot use the laws learned at a certain scale as building blocks to directly explain the emergent properties at higher scales. Reality is a collection of layers of emergence, and all the laws and frameworks needed to understand them share the same universal and fundamental quality. From this perspective, chemistry is not just applied physics, biology is not just applied chemistry — all the way up to sociology, which is not just applied psychology.
Forwarded from Sitpor.org سیتپـــــور
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🔗 sitpor.org/2022/08/complexity-science-books
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این کتابها برای مردم عادی نوشته شدهاند و تغییر قابل توجهی در نگاه مردم به انگاره پیچیدگی ایجاد کردهاند.
🔗 sitpor.org/2022/08/complexity-science-books
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instagram.com/sitpor_media
#سیتپـــــور به خاطر روایتگری در علم
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#Postdoc researcher in Network Science (3 years)
The position is for 3 years, in a friendly academic atmosphere, and offers quite a bit of freedom for the candidate. See the details below, or the university job ad page: https://www.universiteitleiden.nl/en/vacancies/2022/kwartaal-3/22-503postdoctoral-researcher-in-network-science-3-years-0.8-1.0-fte
The position is for 3 years, in a friendly academic atmosphere, and offers quite a bit of freedom for the candidate. See the details below, or the university job ad page: https://www.universiteitleiden.nl/en/vacancies/2022/kwartaal-3/22-503postdoctoral-researcher-in-network-science-3-years-0.8-1.0-fte
"Northwestern University research team has discovered a ubiquitous property of a complex network and developed a novel computational method that... exploit[s] that property to control the whole network using only local information."
https://techxplore.com/news/2022-07-failures-large-networks-local-focus.html
https://techxplore.com/news/2022-07-failures-large-networks-local-focus.html
Tech Xplore
Failures in large networks can be prevented with local focus
We live in an increasingly connected world, a fact underscored by the swift spread of the coronavirus around the globe. Underlying this connectivity are complex networks—global air transportation, the ...
Information theory: A foundation for complexity science
Amos Golan and John Harte
https://www.pnas.org/doi/abs/10.1073/pnas.2119089119?af=R
Abstract
Modeling and inference are central to most areas of science and especially to evolving and complex systems. Critically, the information we have is often uncertain and insufficient, resulting in an underdetermined inference problem; multiple inferences, models, and theories are consistent with available information. Information theory (in particular, the maximum information entropy formalism) provides a way to deal with such complexity. It has been applied to numerous problems, within and across many disciplines, over the last few decades. In this perspective, we review the historical development of this procedure, provide an overview of the many applications of maximum entropy and its extensions to complex systems, and discuss in more detail some recent advances in constructing comprehensive theory based on this inference procedure. We also discuss efforts at the frontier of information-theoretic inference: application to complex dynamic systems with time-varying constraints, such as highly disturbed ecosystems or rapidly changing economies.
Amos Golan and John Harte
https://www.pnas.org/doi/abs/10.1073/pnas.2119089119?af=R
Abstract
Modeling and inference are central to most areas of science and especially to evolving and complex systems. Critically, the information we have is often uncertain and insufficient, resulting in an underdetermined inference problem; multiple inferences, models, and theories are consistent with available information. Information theory (in particular, the maximum information entropy formalism) provides a way to deal with such complexity. It has been applied to numerous problems, within and across many disciplines, over the last few decades. In this perspective, we review the historical development of this procedure, provide an overview of the many applications of maximum entropy and its extensions to complex systems, and discuss in more detail some recent advances in constructing comprehensive theory based on this inference procedure. We also discuss efforts at the frontier of information-theoretic inference: application to complex dynamic systems with time-varying constraints, such as highly disturbed ecosystems or rapidly changing economies.