Complex Networks Everywhere
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A structural transition in physical networks

A structural transition in physical networks | Complex Networks Everywhere | Scoop.it

In many physical networks, including neurons in the brain1,2, three-dimensional integrated circuits3 and underground hyphal networks4, the nodes and links are physical objects that cannot intersect or overlap with each other. To take this into account, non-crossing conditions can be imposed to constrain the geometry of networks, which consequently affects how they form, evolve and function. However, these constraints are not included in the theoretical frameworks that are currently used to characterize real networks5,6,7. Most tools for laying out networks are variants of the force-directed layout algorithm8,9—which assumes dimensionless nodes and links—and are therefore unable to reveal the geometry of densely packed physical networks. Here we develop a modelling framework that accounts for the physical sizes of nodes and links, allowing us to explore how non-crossing conditions affect the geometry of a network. For small link thicknesses, we observe a weakly interacting regime in which link crossings are avoided via local link rearrangements, without altering the overall geometry of the layout compared to the force-directed layout. Once the link thickness exceeds a threshold, a strongly interacting regime emerges in which multiple geometric quantities, such as the total link length and the link curvature, scale with the link thickness. We show that the crossover between the two regimes is driven by the non-crossing condition, which allows us to derive the transition point analytically and show that networks with large numbers of nodes will ultimately exist in the strongly interacting regime. We also find that networks in the weakly interacting regime display a solid-like response to stress, whereas in the strongly interacting regime they behave in a gel-like fashion. Networks in the weakly interacting regime are amenable to 3D printing and so can be used to visualize network geometry, and the strongly interacting regime provides insights into the scaling of the sizes of densely packed mammalian brains.

 

A structural transition in physical networks
Nima Dehmamy, Soodabeh Milanlouei & Albert-László Barabási 
Nature volume 563, pages 676–680 (2018)


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LANet2019 – Latin American conference on complex networks

LANet2019 – Latin American conference on complex networks | Complex Networks Everywhere | Scoop.it

The aim of LANET is to provide a forum to join all scientists who are somehow related to the research on Network Science in Latin America. The rapid growth of the field of Network Science in the last two decades has manifested in the form of schools, workshops, and conferences in Latin America. However, the creation of LANET as a stable and periodic forum devoted to Network Science will further spur the formation of research groups interested in the field and help to establish it as a discipline across Latin American Universities and Research Institutions.


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NERCCS 2019: Second Northeast Regional Conference on Complex Systems

NERCCS 2019: Second Northeast Regional Conference on Complex Systems | Complex Networks Everywhere | Scoop.it

NERCCS 2019: The Second Northeast Regional Conference on Complex Systems will follow the success of the previous inaugural NERCCS to promote the emerging venue of interdisciplinary scholarly exchange for complex systems researchers in the Northeast U.S. region to share their research outcomes through presentations and post-conference online publications, network with their peers in the region, and promote inter-campus collaboration and the growth of the research community.

NERCCS will particularly focus on facilitating the professional growth of early career faculty, postdocs, and students in the region who will likely play a leading role in the field of complex systems science and engineering in the coming years.

The conference will be held in the Innovative Technologies Complex at Binghamton University, which is within driving distance from all major urban areas in the U.S. Northeast region.

 

APRIL 3–5, 2019   BINGHAMTON, NY


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Generating clustered scale-free networks using Poisson based localization of edges

Generating clustered scale-free networks using Poisson based localization of edges | Complex Networks Everywhere | Scoop.it
We introduce a variety of methods for generating clustered scale-free networks.The Watts-Strogatz model is verified by reverse way.Connections to spatially closer neighbors are promoted by Poisson based rewiring.Barabasi-Albert model is rewired to have more local connections.Growing clustered scale-free models with simple but efficient approaches are introduced.

 

Generating clustered scale-free networks using Poisson based localization of edges
İlker Türker

Physica A: Statistical Mechanics and its Applications


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Complexity, Criticality, and Computation (C3) International Biannual Symposium - Charles Perkins Centre - The University of Sydney

Complexity, Criticality, and Computation (C3) International Biannual Symposium - Charles Perkins Centre - The University of Sydney | Complex Networks Everywhere | Scoop.it

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32. Self-Organization in Complex Systems - The Vinod Wadhawan ...

32. Self-Organization in Complex Systems - The Vinod Wadhawan ... | Complex Networks Everywhere | Scoop.it
What is a complex system? In general terms, a complex system consists of a number of interacting 'members', 'elements' or 'agents', which have the potential to generate qualitatively new collective behaviour.

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Complex Networks using NS2 Simulation | NS2 Projects

Complex networks are loosely defined as networks with nontrivial topology and dynamics, which appear as the skeletons of complex systems in the real-world.ht...

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Algorithms and Data Structures in Python Chapter004 Complex neural networks

This course is about data structures and algorithms. We are going to implement the problems in Python, but I try to do it as generic as possible: so the core...

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The Importance of Understanding Your Network: A Lesson

The Importance of Understanding Your Network: A Lesson | Complex Networks Everywhere | Scoop.it

from Reddit

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Taming the network: Finding relationships in complex data sets

Assistant Professor Emmanuel Abbe and his collaborators have come up with a new way of finding previously undetected relationships in networks and complex da...

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A COMPLEX NETWORK THEORY APPROACH TO OCEANIC AND ATMOSPHERIC TRANSPORT PHENOMENA

- By: Enrico Ser Giacomi, IFISC - Date: 2015-12-21 11:00:00 - Description: PhD Thesis

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Alife 2019: The 2019 Conference on Artificial Life

How Can Artificial Life Help Solve Societal Challenges?

Artificial Life has historically been regarded by its adversaries as an academic “hobby” with little relation to real life. We feel that these days are past, as in fact, our interdisciplinary and constantly self-innovating discipline brings together a set of skills and perspectives with a unique potential to tackle some of the most pressing societal challenges of our times. The theme “How can Artificial Life help to solve Societal Challenges” will run through the conference in the shape of keynote presentations and satellite events that apply Artificial Life principles to research on sustainable technologies, bioremediation, urban development and environmental planning, alternative societies a.s.o.But more than merely theming presentations, ALIFE2019 in Newcastle plans to revisit the very way academic conferences are run: a balanced amount of remote talks as well as broadcasting of presentations in order to reduce CO2 emissions, carbon-offset bursaries that allow participants to diminish their ecological footprint, locally sourced catering – these are just a few of the ideas that the organizers will explore, so that us academics can realize some of the change we are advocating for.

 

July 29-August 2

Newcastle upon Tyne, UK


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Conference on Complex Systems 2019

Conference on Complex Systems 2019 | Complex Networks Everywhere | Scoop.it


The Conference on Complex Systems (CCS) is the biggest and most important annual meeting of the international complex systems community. It comes under the auspices of the Complex Systems Society. Since its inception in 2004, CCS had always been Europe-based, but in 2015 & 2017, it moved to North & Latin America respectively.

In 2019, CCS will come to Asia for the first time. Held in Singapore at Nanyang Technological University, it promises an intellectually stimulating experience to be matched by an equally exciting social programme. ​


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Editorial: Metastable Dynamics of Neural Ensembles

A classical view of neural computation is that it can be characterized in terms of convergence to fixed-point-type attractor states (representing for instance memory patterns in Hopfield, 1982) or limit-cycle-like sequential transitions among states (mapping e.g., motor or syntactical sequences in Elman, 1990). After over three decades, is this still a valid model of how brain dynamics implements cognition? The idea that neuro-computational dynamics is mainly deterministically driven by convergence to emergent stable states in a synaptic/network noisy background has been lively debated, and recently challenged both empirically and by computational work. This question touches on the very basics of our understanding of neural computation; and hence it is one of the most exciting topics currently in systems and computational neuroscience.

This e-book comprises a comprehensive collection of recent theoretical and experimental contributions addressing the question of stable versus transient neural population dynamics, and its implications for the observed variability in neural activity, from diverse, complementary angles.

 

Editorial: Metastable Dynamics of Neural Ensembles
Emili Balaguer-Ballester, Ruben Moreno-Bote, Gustavo Deco, and Daniel Durstewitz

Front. Syst. Neurosci., 26 January 2018 | https://doi.org/10.3389/fnsys.2017.00099


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Complex network pathophysiology, Aleks Domanski (University of Bristol, UK)

Full title: Complex network pathophysiology: Capture, dissection and manipulation of Autistic cortical dynamics in silico, Aleks Domanski (University of Bris...

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Is AI Dangerous? That Depends…

Is AI Dangerous? That Depends… | Complex Networks Everywhere | Scoop.it
Somewhere in the long list of topics that are relevant to astrobiology is the question of 'intelligence'. Is human-like, technological intelligence likely to be common across ...

Via Jorge Louçã, NESS
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Probing pattern formation and dynamics of nanoscale 'swarms' - DeepStuff.org

Probing pattern formation and dynamics of nanoscale 'swarms' - DeepStuff.org | Complex Networks Everywhere | Scoop.it
“Flocking” or “swarming” behavior is omnipresent in the living world, observed in birds, fish, and even bacteria. Strikingly similar collective action can also be seen in biomolecules within and between cells.

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Computers Made Out of DNA, Slime and Other Strange Stuff

Computers Made Out of DNA, Slime and Other Strange Stuff | Complex Networks Everywhere | Scoop.it

Everybody knows a computer is a machine made of metal and plastic, with microchip cores turning streams of electrons into digital reality.

A century from now, though, computers could look quite different. They might be made from neurons and chemical baths, from bacterial colonies and pure light, unrecognizable to our old-fashioned 21st century eyes.


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Experts warn of a more complex terror network in West Africa

Nigerian security experts are warning of emergence of a more complex terror network in West Africa if firm international action is not taken to combat terror...

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Presenting Watson News Explorer - Watson Dev

Presenting Watson News Explorer - Watson Dev | Complex Networks Everywhere | Scoop.it

The IBM Watson News Explorer automatically constructs a news information network and presents large volumes of news results in an understandable fashion.

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Complex Quantum Network Manifolds in Dimension d > 2 are Scale-Free

Complex Quantum Network Manifolds in Dimension d > 2 are Scale-Free | Complex Networks Everywhere | Scoop.it

In quantum gravity, several approaches have been proposed until now for the quantum description of discrete geometries.

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complex network visualization

complex network visualization. based on three.js https://github.com/furyphoenix/visserver

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Physics sheds light on stem cell-derived organoid growth and brain development

Physics sheds light on stem cell-derived organoid growth and brain development | Complex Networks Everywhere | Scoop.it

New research has shed light on the complex interactions of stem cell function and molecular diffusion in neural tissue, which may explain many phenomena...

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