Complex Networks Everywhere
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Complex Networks Everywhere
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Pattern Based Graph Generator

 Pattern Based Graph Generator. (arXiv:1303.0157v2 [cs.DS] UPDATED) http://t.co/0dmsyg9aST #physics #society

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A collective opinion formation model under Bayesian updating and confirmation bias

 A collective opinion formation model under Bayesian updating and confirmation ... http://t.co/Hrro8PkgwP…;

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Dynamics On and Of Complex Networks, Volume 2 - Applications to Time-Varying Dynamical Systems

Dynamics On and Of Complex Networks, Volume 2 - Applications to Time-Varying Dynamical Systems | Complex Networks Everywhere | Scoop.it
This self-contained book systematically explores the statistical dynamics on and of complex networks with a special focus on time-varying networks. In the constantly changing modern world, there is an urgent need to understand ...
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Complexity: Life, Scale, & Civilization

Santa Fe Institute Panel Discussion Moderated by David Krakauer Monday, August 6, 2012 On Monday, August 6, SFI hosted a public panel discussion on the natur...
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Cities are a new kind of complex system: Part social reactor, part network

Cities are a new kind of complex system: Part social reactor, part network | Complex Networks Everywhere | Scoop.it
Scientists have derived a series of mathematical formulas that describe how cities' properties vary in relation to their population size, and then posits a novel unified, quantitative framework for understanding how cities function and grow.

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judycurtis's curator insight, June 23, 2013 3:58 PM

New, fascinating research led by Luis Bettencourt and the Santa Fe Institute's Cities & Urbanization research team has bearing on the Smart Cities concept. In a paper published in the magazine Science (week of June 20, 2013) Bettencourt proposes a framework for understanding how cities function and grow.

 

His framework has practical implications for planners and policy makers, he says. The paper shows how obstacles to socialization, such as crime or segregation, and enablers that promote the ability of people to connect, such as transportation and electricity, all become part of the same equation.

luiy's curator insight, June 24, 2013 3:02 PM

New research by Santa Fe Institute Professor Luis Bettencourt suggests a city is something new in nature -- a sort of social reactor that is part star and part network, he says.

 

"It's an entirely new kind of complex system that we humans have created," he says. "We have intuitively invented the best way to create vast social networks embedded in space and time, and keep them growing and evolving without having to stop. When that is possible, a social species can sustain ways of being incredibly inventive and productive."

 

In a paper published this week in Science, Bettencourt derives a series of mathematical formulas that describe how cities' properties vary in relation to their population size, and then posits a novel unified, quantitative framework for understanding how cities function and grow.

His resulting theoretical framework predicts very closely dozens of statistical relationships observed in thousands of real cities around the world for which reliable data are available.

 

"As more people lead urban lives and the number and size of cities expand everywhere, understanding more quantitatively how cities function is increasingly important," Bettencourt says. "Only with a much better understanding of what cities are will we be able to seize the opportunities that cities create and try to avoid some of the immense problems they present. This framework is a step toward a better grasp of the functioning of cities everywhere."

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Efficiently Estimating Subgraph Statistics of Large Networks in the Dark

Efficiently Estimating Subgraph Statistics of Large Networks in the Dark. (arX... http://t.co/4FT7UFUHL6

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Can six billion cells phones collecting data on how people move lead to better human health?

Can six billion cells phones collecting data on how people move lead to better human health? | Complex Networks Everywhere | Scoop.it

Collecting and analyzing information from simple cell phones can provide surprising insights into how people move about and behave—and even help us understand the spread of diseases.

 

At a computer in her office at the Harvard School of Public Health in Boston, epidemiologist Caroline Buckee points to a dot on a map of Kenya’s western highlands, representing one of the nation’s thousands of cell-phone towers. In the fight against malaria, Buckee explains, the data transmitted from this tower near the town of Kericho has been epidemiological gold.

 

When she and her colleagues studied the data, she found that people making calls or sending text messages originating at the Kericho tower were making 16 times more trips away from the area than the regional average. What’s more, they were three times more likely to visit a region northeast of Lake Victoria that records from the health ministry identified as a malaria hot spot. The tower’s signal radius thus covered a significant waypoint for transmission of malaria, which can jump from human to human via mosquitoes. Satellite images revealed the likely culprit: a busy tea plantation that was probably full of migrant workers. The implication was clear, Buckee says. “There will be a ton of infected [people] there.”


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Game of Life on Phyllosilicates: Gliders, Oscillators and Still Life

A phyllosilicate is a sheet of silicate tetrahedra bound by basal oxygens. A phyllosilicate automaton is a regular network of finite state machines --- silicon nodes and oxygen nodes --- which mimics structure of the phyllosilicate. A node takes states 0 and 1. Each node updates its state in discrete time depending on a sum of states of its three (silicon) or six (oxygen) neighbours. Phyllosilicate automata exhibit localizations attributed to Conway's Game of Life: gliders, oscillators, still lifes, and a glider gun. Configurations and behaviour of typical localizations, and interactions between the localizations are illustrated.

 

Game of Life on Phyllosilicates: Gliders, Oscillators and Still Life

Andrew Adamatzky

http://arxiv.org/abs/1306.0253


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orgcomplexity.com

orgcomplexity.com | Complex Networks Everywhere | Scoop.it
This blog is home to those not put aback by the complexity inherent to healthcare. This is a site for the complexity as well as system science relishers.
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Dino Pedreschi Webcast: on the Future of Big Data

Co-create the Future 

As part of the "Future Fridays" series of webinars on Futurium, Prof. Dino Pedreschi presented his vision of the Future of Big Data. Below is the video of Prof. Pedreschi's keynote speech during the webinar. Than ks to Katarzyna Szkuta


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IEEE Transactions on Network Science and Engineering Seeks ...

IEEE Transactions on Network Science and Engineering Seeks ... | Complex Networks Everywhere | Scoop.it
Network Sampling and Measurement; Learning of Network Topology; Modeling and Estimation of Network Dynamics; Network Inference; Models of Complex Networks; Modeling of Network Evolution; Network Design ...
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A framework for the calibration of social simulation models

#sociophysics A framework for the calibration of social simulation models. (arXiv:1305.3842v... http://t.co/rX6EnAn255 #physics #society
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The Physics of Finance: What has"econophysics" achieved?

The Physics of Finance: What has"econophysics" achieved? | Complex Networks Everywhere | Scoop.it
점점 이쪽에 몸담게 되고 있는 사람으로서 유용한 동기요약 “@James_Samworth: The Physics of Finance: What has"econophysics" ever done for us? http://t.co/RxeacW1EJj”;
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Building 3-D fractals on a nanoscale: Structure repeats itself from ...

Building 3-D fractals on a nanoscale: Structure repeats itself from ... | Complex Networks Everywhere | Scoop.it
It all starts with a single octahedron structure, then after four iterations there are already 625 of them. Each iteration creates a new octahedron at each vertex. The result is a fascinating 3D fractal construction on micro and ...
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Transaction Costs and Shadow Prices in Discrete Time

 Transaction Costs and Shadow Prices in Discrete Time. (arXiv:1205.4643v2 [q-... http://t.co/Uo12ThgIwW

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A Stochastic Feedback Model for Volatility

 A Stochastic Feedback Model for Volatility. (arXiv:1306.4975v1 [q-fin.ST]) http://t.co/NHvD2dPsfj

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Complex Systems Summer Schools | Santa Fe Institute

Complex Systems Summer Schools | Santa Fe Institute | Complex Networks Everywhere | Scoop.it
@samu_jo You should check out the Complex System Summer School of the Santa Fe Institute, dude! http://t.co/qX8pEtt7RP
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Static and Dynamic Aspects of Scientific Collaboration Networks

Static and Dynamic Aspects of Scientific Collaboration Networks. (arXiv:1306.5... http://t.co/6YVI3Rk86k…;

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Daniel Suarez: The kill decision shouldn't belong to a robot

As a novelist, Daniel Suarez spins dystopian tales of the future. But on the TEDGlobal stage, he talks us through a real-life scenario we all need to know more about: the rise of autonomous robotic weapons of war. Advanced drones, automated weapons and AI-powered intelligence-gathering tools, he suggests, could take the decision to make war out of the hands of humans.


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Complexity Digest's curator insight, June 14, 2013 2:30 PM

This talk is well beyond scifi armaggedon scenarios. Rather convincing and plausible.

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SocInfo 2013

We are delighted to welcome the International Conference on Social Informatics (SocInfo 2013) to Kyoto, Japan. The conference will take place from November 25 to 27 at Clock Tower Centennial Hall, Kyoto University.

 

The International Conference on Social Informatics (SocInfo 2013) is an interdisciplinary venue for researchers from Computer Science, Informatics, Social Sciences and Management Sciences to share ideas and opinions, and present original research work on studying the interplay between socially-centric platforms and social phenomena. The ultimate goal of Social Informatics is to create better understanding of socially-centric platforms not just as a technology, but also as a set of social phenomena. To that end, we are inviting interdisciplinary papers, on applying information technology in the study of social phenomena, on applying social concepts in the design of information systems, on applying methods from the social sciences in the study of social computing and information systems, on applying computational algorithms to facilitate the study of social systems and human social dynamics, and on designing information and communication technologies that consider social context.

 

http://www.socinfo2013.org


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Global Multi-Level Analysis of the ‘Scientific Food Web' : Scientific Reports : Nature Publishing Group

Global Multi-Level Analysis of the ‘Scientific Food Web' : Scientific Reports : Nature Publishing Group | Complex Networks Everywhere | Scoop.it
We introduce a network-based index analyzing excess scientific production and consumption to perform a comprehensive global analysis of scholarly knowledge production and diffusion on the level of continents, countries, and cities.

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Maria Burguete, Science Matters: Humanities As Complex Systems ...

Maria Burguete, Science Matters: Humanities As Complex Systems ... | Complex Networks Everywhere | Scoop.it
Download Free eBook:Maria Burguete, Science Matters: Humanities As Complex Systems (Repost) - Free chm, pdf ebooks rapidshare download, ebook torrents bittorrent download.
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Aid and Complex Systems cont'd: Timelines, Incubation Periods and ...

Aid and Complex Systems cont'd: Timelines, Incubation Periods and ... | Complex Networks Everywhere | Scoop.it
I'm at one of those moments where all conversations seem to link to each other, I see complex systems everywhere, and I'm wondering whether I'm starting to lose my marbles. Happily, lots of other people seem to be suffering ...
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Network Science Course - 2012

Network Science Course - 2012 | Complex Networks Everywhere | Scoop.it
Network Science Course Website

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Betty Cares's curator insight, May 22, 2013 10:14 AM

The legendary Complex Adpative  Systems researcher, Lazlo Barabasi, now runs a Network Science research center at Northeastern U.  I was VERY surprised to find his courses' slides with commentary available to review and download here. 

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Exponential random graph models for networks with community structure

#sociophysics Exponential random graph models for networks with community structure. (arXiv:... http://t.co/jNYGNnt6f5 #physics #society
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