MIT Press Journals - Presence: Teleoperators and Virtual Environments - Citation
Eugene Ch’ng Big Data and Visual Analytics Lab School of Computer Science University of Nottingham Ningbo China 199 Taikang East Road, 315100 Zhejiang Ningbo, China
What Isn't Complexity?
The question What is Complexity? has occupied a great deal of time and paper over the last 20 or so years. There are a myriad different perspectives and definitions but still no consensus. In this paper I take a phenomenological approach, identifying several factors that discriminate well between...
Worldwide clustering of the corruption perception
We inspect a possible clustering structure of the corruption perception among 134 countries. Using the average linkage clustering, we uncover a well-defined hierarchy in the relationships among countries. Four main clusters are identified and they suggest that countries worldwide can be quite wel...
» MIT Press CFP: Living Virtual Heritage: Agents and Enhanced Environments - complexity.io
Virtual Heritage – the use of digital and virtual technologies for cataloguing and conveying our cultural heritage – offers exciting new ways to experience the cultural treasures of the world, both ancient and modern. Virtual heritage research in past decades has focused mainly on the visual aspe...
▶ Jeffrey Johnson: From networks to hypernetworks in complex systems science
Complex systems have multilevel dynamics emerging from interactions between their parts. Networks have provided deep insights into those dynamics, but only represent relations between two things while the generality is relations between many things. Hypergraphs and their related Galois connection...
▶ Towards a Self-Regulating Society
Towards a Self-Regulating Society. Dirk Helbing, ETH Zurich. 2014/05/20
What humans can learn from semi-intelligent slime
Inspired by biological design and self-organizing systems, artist Heather Barnett co-creates with physarum polycephalum, a eukaryotic microorganism that lives in cool, moist areas. What can people learn from the semi-intelligent slime mold? Watch this talk to find out.

http://on.ted.com/sz7m
▶ Global Brain: Web as Self-organizing Distributed Intelligence - Francis Heylighen
Distributed intelligence is an ability to solve problems and process information that is not localized inside a single person or computer, but that emerges from the coordinated interactions between a large number of people and their technological extensions. The Internet and in particular the Wor...
The scaling of human interactions with city size
The size of cities is known to play a fundamental role in social and economic life. Yet, its relation to the structure of the underlying network of human interactions has not been investigated empirically in detail. In this paper, we map society-wide communication networks to the urban areas of t...
Co-Following on Twitter
We present an in-depth study of co-following on Twitter based on the observation that two Twitter users whose followers have similar friends are also similar, even though they might not share any direct links or a single mutual follower. We show how this observation contributes to (i) a better un...
Connecting Core Percolation and Controllability of Complex Networks
Core percolation is a fundamental structural transition in complex networks related to a wide range of important problems. Recent advances have provided us an analytical framework of core percolation in uncorrelated random networks with arbitrary degree distributions. Here we apply the tools in a...
Your Brain Is On the Brink of Chaos
In one important way, the recipient of a heart transplant ignores its new organ: Its nervous system usually doesn’t rewire to communicate with it. The 40,000 neurons controlling a heart operate so perfectly, and are so self-contained, that a heart can be cut out of one body, placed into another, ...
Spatial maximum entropy modeling from presence/absence tropical forest data
Understanding the assembly of ecosystems to estimate the number of species at different spatial scales is a challenging problem. Until now, maximum entropy approaches have lacked the important feature of considering space in an explicit manner. We propose a spatially explicit maximum entropy mode...
[1405.6707] Understanding the spreading power of all nodes in a network: a continuous-time perspe...
Polar Swarms

How do individual animals form swarms, schools, and flocks? In the 1990s, physicists modeled collections of self-propelled particles (so-called “active matter”) and could simulate the ordering that occurs in animal flocks.  Theoretical models have reproduced many aspects of this collective behavior, but a number of questions have persisted. One concerns the observation that in polar, active matter—think of a collection of small, mutually interacting swimming arrows—the particles organize themselves into three possible pattern classes: density waves, solitary waves (solitons), and traveling “droplets.”

No single theory has been able to explain the formation and diversity of these patterns. However, in a paper in Physical Review Letters, Jean-Baptiste Caussin and collaborators from institutes in France, Germany, and the Netherlands, have solved a hydrodynamic model of polar active particles and have accounted for the origin and variety of these propagating swarm structures...

How Complex Contagions Spread and Spread Quickly

In this paper we study the spreading speed of complex contagions in a social network. A k-complex contagion starts from a set of initially infected seeds such that any node with at least k infected neighbors gets infected. Simple contagions, i.e., k=1, spreads to the entire network quickly in any small world graph. However, the spreading of complex contagions appears to be less likely and more delicate; the successful cases depend crucially on the network structure~\cite{Ghasemiesfeh:2013:CCW}. 
The main result in this paper is to show that complex contagions can spread fast in the preferential attachment model, covering the entire network of nnodes in O(logn) steps, if the initial seeds are the oldest nodes in the network. We show that the choice of the initial seeds is crucial. If the initial seeds are uniformly randomly chosen and even if we have polynomial number of them, it is not enough to spread a complex contagion. The oldest nodes in a preferential attachment model are likely to have high degrees in the network. However, we remark that it is actually not the power law degree distribution per se that supports complex contagion, but rather the evolutionary graph structure of such models. The proof generalizes to a bigger family of time evolving graphs where some of the members do not have a power-law distribution. The core of the proof relies on the analysis of a multitype branching process, which may be of independent interest. 
We also present lower bounds for the cases of Kleinberg's small world model that were not analyzed in prior work. When the clustering coefficient γ is anything other than 2, a complex contagion necessarily takes polynomial number of rounds to spread to the entire network.

Network communities within and across borders
We investigate the impact of borders on the topology of spatially embedded networks. Indeed territorial subdivisions and geographical borders significantly hamper the geographical span of networks thus playing a key role in the formation of network communities. This is especially important in sci...
In the Company of Wealth | Dragons and Pandas | Big Think
“Now, working elbow to elbow with billionaires, I was a giant fireball of greed.” –Sam Polk BREAK it down: Obscenely rich people from 2013 meet in Davos, Switzerland, to discuss how to get ludicrously rich in 2014; Japan’s Abe reminds Western...
Topics in social network analysis and network science
This chapter introduces statistical methods used in the analysis of social networks and in the rapidly evolving parallel-field of network science. Although several instances of social network analysis in health services research have appeared recently, the majority involve only the most basic met...
Predicting Successful Memes using Network and Community Structure
Financial Brownian particle in the layered order-book fluid and fluctuation-dissipation relations

We introduce a novel description of the dynamics of the order book of financial markets as that of an effective colloidal Brownian particle embedded in fluid particles. The analysis of a comprehensive market data enables us to identify all motions of the fluid particles. Correlations between the motions of the Brownian particle and its surrounding fluid particles reflect specific layering interactions; in the inner-layer, the correlation is strong and with short memory while, in the outer-layer, it is weaker and with long memory. By interpreting and estimating the contribution from the outer-layer as a drag resistance, we demonstrate the validity of the fluctuation-dissipation relation (FDR) in this non-material Brownian motion process.

Twitter 'big data' can be used to monitor HIV, drug-related behavior
Real-time social media like Twitter could be used to track HIV incidence and drug-related behaviors with the aim of detecting and potentially preventing outbreaks. The study suggests it may be possible to predict sexual risk and drug use behaviors by monitoring tweets, mapping where those message...
Damage spreading in spatial and small-world random Boolean networks
The study of the response of complex dynamical social, biological, or technological networks to external perturbations has numerous applications. Random Boolean networks (RBNs) are commonly used as a simple generic model for certain dynamics of complex systems. Traditionally, RBNs are interconnec...
How to Save Human Lives with Complexity Science
We discuss models and data of crowd disasters, crime, terrorism, war and disease spreading to show that conventional recipes, such as deterrence strategies, are not effective and sufficient to contain them. The failure of many conventional approaches results from their neglection of feedback loops, instabilities and/or cascade effects, due to which equilibrium models do often not provide a good picture of the actual system behavior. However, the complex and often counter-intuitive behavior of social systems and their macro-level collective dynamics can be understood by means of complexity science, which enables one to address the aforementioned problems more successfully. We highlight that a suitable system design and management can help to stop undesirable cascade effects and to enable favorable kinds of self-organization in the system. In such a way, complexity science can help to save human lives.
  
The strength of ‘weak signals’
As information thunders through the digital economy, it’s easy to miss valuable “weak signals” often hidden amid the noise. Arising primarily from social media, they represent snippets—not streams—of information and can help companies to figure out what customers want and to spot looming industry...
The Relative Ineffectiveness of Criminal Network Disruption
Researchers, policymakers and law enforcement agencies across the globe struggle to find effective strategies to control criminal networks. The effectiveness of disruption strategies is known to depend on both network topology and network resilience. However, as these criminal networks operate in...
Guided Self-Organisation
Typically, self-organisation (SO) is defined as the evolution of a system into an organised form in the absence of external pressures. SO within a system brings about several attractive properties, in particular, robustness, adaptability and scalability. In the face of perturbations caused by adv...
Crime rates could rise as climate change bites - environment - 28 February 2014 - New Scientist
As temperatures soar, so do crime rates – suggesting climate change will lead to millions of extra offences in the coming decades
Crowd-sourcing: Strength in numbers
Researchers are finding that online, crowd-sourced collaboration can speed up their work — if they choose the right problem.
Information Evolution in Social Networks
Social networks readily transmit information, albeit with less than perfect fidelity. We present a large-scale measurement of this imperfect information copying mechanism by examining the dissemination and evolution of thousands of memes, collectively replicated hundreds of millions of times in t...
Predicting Crowd Behavior with Big Public Data
With public information becoming widely accessible and shared on today's web, greater insights are possible into crowd actions by citizens and non-state actors such as large protests and cyber activism. We present efforts to predict the occurrence, specific timeframe, and location of such actions...
The Math That Predicted the Revolutions Sweeping the Globe Right Now
The complex systems theorists who predicted the Arab Spring built a model that predicted the unrest in Ukraine, Venezuela, and Thailand too.
SFI: notes for the history of Complex Systems Science
This is the first in a series of articles recounting the history of the Santa Fe Institute drawn from primary and, in a few cases, secondary sources.
By John German

In George Cowan's telling, the notion for a Santa Fe Institute began to form in the summer of 1956. He had been invited to the As...
Simulating the past to understand human history: satellite in 10th conference of the European Soc...
SIMULATING THE PAST TO UNDERSTAND HUMAN HISTORY

The conference is organized with the contribution of the SimulPast project(www.simulpast.es), a 5-year exploratory research project funded by the SpanishGovernment (MICINN CSD2010-00034) that aims at developing an innovative andinterdisciplinary m...
SocInfo 2014 | 6th international conference on Social Informatics
We are delighted to welcome the 6th International Conference on Social Informatics (SocInfo 2014) to Barcelona, Spain, from November 10th to November 13th.SocInfo is an interdisciplinary venue for researchers from Computer Science, Informatics, Social Sciences and Management Sciences to share ide...
Introduction to Complex Systems: Patterns in Nature
This video provides a basic introduction to the science of complex systems, focusing on patterns in nature. (For more information on agent-based modeling, vi...
Video Reveals the Molecular Basis of Memory | Big Think TV | Big Think
A major advance in the use of microscopes for scientific investigation allows scientists to watch the brain create memories.
Biology's 'dark matter' hints at fourth domain of life - life - 18 March 2011 - New Scientist
Over 99 per cent of organisms remain unknown to science – so could some of them sit outside the classic three domains of cellular life?
Chaos theory as the answer to limited spectrum? - Academia — Innovating for society
Ken Umeno, Professor at the Department of Applied Mathematics and Physics, Graduate School of Informatics, Kyoto University, Japan and Minghui Kao, Ch
Facebook's a disease and the cure's coming | TechRadar
Facebook's a disease and the cure's coming
Epidemics on social networks
Since its first formulations almost a century ago, mathematical models for disease spreading contributed to understand, evaluate and control the epidemic processes.They promoted a dramatic change in how epidemiologists thought of the propagation of infectious diseases.In the last decade, when the...
Scientists glue sensors to 5,000 bees to study behaviour - Telegraph
Researchers have attached tiny sensors to thousands of bees as part of an experiment to better understand their behaviour
Interdisciplinary Marriage | Education Recoded | Big Think
Guest post by Kevin Flora (Cross post from kevinflora.com)
Think as if there isn't a box, not just "outside the box". Embrace change and accept your responsibility as a professional within the changing economy and world we live in.
Beyond Big Data: Identifying Important Information for Real World Challenges | NECSI
Report calls on NHS to consistently use simulation software ahead of big decisions
The NHS could be run more effectively if senior decision makers used simulation software to test the outcome of different approaches before rolling them out, according to a report out today.
Comparing C++ Compilers' Parallel-Programming Performance
Eric Berlow: Simplifying complexity
Ecologist Eric Berlow doesn't feel overwhelmed when faced with complex systems. He knows that more information can lead to a better, simpler solution.
Statistical significance in Big Data
An interesting problem when analyzing Big Data is whether one should report the statistical significance of the estimated coefficients at the 1% level, instead of the more conventional 5% level. In...
Modelling social networks reveals how information spreads
The way information spreads through society has changed significantly over the past decade with the advent of online social networking.
In the context of history, connectors are among the people who are pioneers of social change. We need only look back at political change within global society t...
The Simple Rules of Social Contagion
It is commonly believed that information spreads between individuals like a pathogen, with each exposure by an informed friend potentially resulting in a naive individual becoming infected. However, empirical studies of social media suggest that individual response to repeated exposure to informa...
The Heart as a Complex Adaptive System
There is mounting evidence that the heart is a system onto itself and that it is intimately intertwined with the nervous and endocrine system residing within its borders. The capacity of self-organized systems to adapt is embodied in the functional organization of the intrinsic control mechanisms...
Philosophy of Complex Systems (Book in PDF)
BBC Radio 4 - In Our Time, Complexity
Melvyn Bragg and his guests discuss complexity and how it can help us understand the world around us. When living beings come together and act in a group, they do so in complicated and unpredictable ways: societies often behave very differently from the individuals within them. Complexity was a p...
Mozilla: Native code? No, it's JavaScript, only it's BLAZING FAST
New tech promises browser apps at near native speed
An exploration of social identity: The geography and politics of news-sharing communities in twitter
The importance of collective social action in current events is manifest in the Arab Spring and Occupy movements. Electronic social media have become a pervasive channel for social interactions, and a basis of collective social response to information. The study of social media can reveal how ind...
Connection, Connection, Connection…
There are approximately 86 billion neurons in the human brain. Over the past decades, we have made enormous progress in understanding their molecular, genetic, and structural makeup as well as their function. However, the real power of the central nervous system lies in the smooth coordination of...
Romantic Partnerships and the Dispersion of Social Ties: A Network Analysis of Relationship Statu...
A crucial task in the analysis of on-line social-networking systems is to identify important people --- those linked by strong social ties --- within an individual's network neighborhood. Here we investigate this question for a particular category of strong ties, those involving spouses or romant...
Zipf's law unzipped
Introduction and background. The outcome of a random process is often well described by a bell-shaped curve, the normal distribution. Some hundred years ago, it was noticed that things like the richness among people, town sizes, surnames, and the frequency of words have different, broader distrib...
Geo-located Twitter as the proxy for global mobility patterns
In the advent of a pervasive presence of location sharing services researchers gained an unprecedented access to the direct records of human activity in space and time. This paper analyses geo-located Twitter messages in order to uncover global patterns of human mobility. Based on a dataset of al...
The Math of Segregation » American Scientist
In the 1960s Schelling devised a simple model in which a mixed group of people spontaneously segregates by race even though no one in the population desires that outcome. Initially, black and white families are randomly distributed. At each step in the modeling process the families examine their ...
Designing complex dynamics in cellular automata with memory
Since their inception at Macy conferences in later 1940s, complex systems have remained the most controversial topic of interdisciplinary sciences. The term "complex system" is the most vague and liberally used scientific term. Using elementary cellular automata (ECA), and exploiting the CA class...
A Comparison of Tram Priority at Signalized Intersections
We study tram priority at signalized intersections using a stochastic cellular automaton model for multimodal traffic flow. We simulate realistic traffic signal systems, which include signal linking and adaptive cycle lengths and split plans, with different levels of tram priority. We find that t...
Escaping the poverty trap: modeling the interplay between economic growth and the ecology of infe...
The dynamics of economies and infectious disease are inexorably linked: economic well-being influences health (sanitation, nutrition, treatment capacity, etc.) and health influences economic well-being (labor productivity lost to sickness and disease). Often societies are locked into ``poverty tr...
The Power of Connection
What will happen when there are more active mobile phones than people on the planet? What will that mean for the global economy?We’re about to find out.Next year is the year that active mobile and
5 keys to great nonverbal communication
An experiment proves that a few differences in body language can make a huge difference in how well an audience takes in what a presenter says.
Graph measures and network robustness
Network robustness research aims at finding a measure to quantify network robustness. Once such a measure has been established, we will be able to compare networks, to improve existing networks and to design new networks that are able to continue to perform well when it is subject to failures or ...
Social Influence and the Collective Dynamics of Opinion Formation
Social influence is the process by which individuals adapt their opinion, revise their beliefs, or change their behavior as a result of social interactions with other people. In our strongly interconnected society, social influence plays a prominent role in many self-organized phenomena such as h...
Escaping the poverty trap: modeling the interplay between economic growth and the ecology of infe...
The dynamics of economies and infectious disease are inexorably linked: economic well-being influences health (sanitation, nutrition, treatment capacity, etc.) and health influences economic well-being (labor productivity lost to sickness and disease). Often societies are locked into ``poverty tr...
Leaders Eat Last: Why Some Teams Pull Together and Others Don’t: Simon Sinek
Why do only a few people get to say “I love my job”? It seems unfair that finding fulfillment at work is like winning a lottery; that only a few lucky ones get to feel valued by their organizations, to feel like they belong.
Imagine a world where almost everyone wakes up inspired to go to work, f...
Social Learning Strategies in Networked Groups
When making decisions, humans can observe many kinds of information about others' activities, but their effects on performance are not well understood. We investigated social learning strategies using a simple problem-solving task in which participants search a complex space, and each can view an...
Experimental evidence for the influence of group size on cultural complexity
The remarkable ecological and demographic success of humanity is largely attributed to our capacity for cumulative culture1, 2, 3. The accumulation of beneficial cultural innovations across generations is puzzling because transmission events are generally imperfect, although there is large varian...
Failure mechanisms of load sharing complex systems
We investigate the failure mechanisms of load sharing complex systems. The system is composed of multiple nodes or components whose failures are determined based on the interaction of their respective strengths and loads (or capacity and demand respectively) as well as the ability of a component ...
Early-warning signals of topological collapse in interbank networks
The financial crisis clearly illustrated the importance of characterizing the level of ‘systemic’ risk associated with an entire credit network, rather than with single institutions. However, the interplay between financial distress and topological changes is still poorly understood. Here we anal...
Complexity measurement of natural and artificial languages
We compared entropy for texts written in natural languages (English, Spanish) and artificial languages (computer software) based on a simple expression for the entropy as a function of message length and specific word diversity. Code text written in artificial languages showed higher entropy than...
Coexistence of critical regimes in interconnected networks
Networks in the real world do not exist as isolated entities, but they are often part of more complicated structures composed of many interconnected network layers. Recent studies have shown that such mutual dependence makes real networked systems exposed to potentially catastrophic failures, and...
Chaos Forgets and Remembers: Measuring Information Creation, Destruction, and Storage
The hallmark of deterministic chaos is that it creates information—the rate being given by the Kolmogorov-Sinai metric entropy. Since its introduction half a century ago, the metric entropy has been used as a unitary quantity to measure a system’s intrinsic unpredictability. Here, we show that it...
Complex Systems Science as a New Transdisciplinary Science, by Paul Bourgine
The new science of complex systems will be at the heart of the future of the Worldwide Knowledge Society. It is providing radical new ways of understanding the physical, biological, ecological, and techno-social universe. Complex Systems are open, value-laden, multi-level, multi-component, reconf...
What Big Data Means For Social Science
We've known big data has had big impacts in business, and in lots of prediction tasks. I want to understand, what does big data mean for what we do for science? Specifically, I want to think about the following context: You have a scientist who has a hypothesis that they would like to test, and ...
Quantum Light Harvesting Hints at Entirely New Form of Computing
Physicists have long known that plants and bacteria convert light into chemical energy in a way that is hugely efficient. But only in recent years have they discovered that the molecular machines behind this process rely on quantum mechanics to do the job.That’s a big surprise because of the temp...
Scientists reveal why the mere presence of males shortens females’ lifespan in some species
The scientists found that the prolonged presence of young males lowered the average lifespan of C. elegans hermaphrodites by over 20 percent.
Superconducting Video Camera Sees the Universe in Living Color - IEEE Spectrum
New category of spectrographic sensor directly reads wavelengths of single photons up to 2500 times a second
Using New C++ Lambdas with Threading Building Blocks
The newest C++ standard, C++11, includes a handy feature called lambdas. Jeff Cogswell walks you through how they work and introduces them from the perspective of parallel programming and Threading Building Blocks.
God Particle or Goddamn Particle?
Just a month ago, the Royal Swedish Academy of Sciences announced that this year's Nobel Prize for Physics would go to two of the original six researchers who proposed the existence of the so-called "Higgs particle" in 1964.
Technology is changing the Aid Landscape | In Verba - Updates about the Royal Society's work on p...
Technology is changing the Aid Landscape | In Verba - Updates about the Royal Society's work on p...
The Status of Moore's Law: It's Complicated - IEEE Spectrum
Node names—the milestones of the chip industry—no longer mean what they used to
Video Tutorial: Testing Multicore Code on a High Performance AWS Server
Go Parallel writer and technology analyst Jeff Cogswell allocates a large multicore system on Amazon Web Services and then compiles and runs a Cilk Plus program.
Ecosystem-based adaptation: findings from the field | In Verba - Updates about the Royal Society'...
Community Supercomputer Brings Data Analytics to the Masses
Massive supercomputer power is usually reserved for big companies or governments, but now it’s available to the public, small businesses, researchers and startups in Tulsa, Oklahoma.
Things
Assuming one could momentarily step aside from the current pandemonium generated by big data, social networks, and smart phones; there is an obvious question that comes to one's mind: what will be the next wave of innovations? Of course, the only safe prediction, about forecasting the future, is ...
Ten Simple Rules for Reproducible Computational Research
Rule 1: For Every Result, Keep Track of How It Was Produced
Rule 2: Avoid Manual Data Manipulation Steps
Rule 3: Archive the Exact Versions of All External Programs Used
Rule 4: Version Control All Custom Scripts
Rule 5: Record All Intermediate Results, When Possible in Standardized Formats
...
Coevolution and the Effects of Climate Change on Interacting Species
Recent studies suggest that environmental changes may tip the balance between species that interact with each other, leading to the extinction of one or more species. While it is recognized that evolution will alter the way environmental changes directly affect individual species, the interaction...
For Preventing Disease, Data Are the New Drugs
One of the world’s most advanced data mining projects applies this same kind of analysis to cancer. Ilya Shmulevich, a lead genomicist who directs a Genome Data Analysis Center at the National Institutes of Health’s The Cancer Genome Atlas, says the project was born out of a shared frustration am...
Powerlaws and Self-Organized Criticality in Theory and Nature
Powerlaws and distributions with heavy tails are common features of many experimentally studied complex systems, like the distribution of the sizes of earthquakes and solar flares, or the duration of neuronal avalanches in the brain. It had been tempting to surmise that a single general concept m...
Advances in Dynamic Network Modeling in Complex Transportation Systems (edited by Satish V. Ukkus...
This edited book focuses on recent developments in Dynamic Network Modeling, including aspects of route guidance and traffic control as they relate to transportation systems and other complex infrastructure networks. Dynamic Network Modeling is generally understood to be the mathematical modelin...
Systems Biology: Functional Strategies of Living Organisms (by Leszek Konieczny, Irena Roterman-K...
The objective of this book is to present the strategies employed by living organisms on a molecular level and to help understand the basics of Systems Biology. Its content is organized in a way to meet the exponential growth in the volume of biological knowledge, and the need for a multidisciplin...
Trouble at the lab
“I SEE a train wreck looming,” warned Daniel Kahneman, an eminent psychologist, in an open letter last year. The premonition concerned research on a phenomenon...
Leap for Quantum Supercomputing
A new way to manipulate microwave signals discovered by scientists at Yale University could boost efforts to develop a quantum supercomputer—which could revolutionize information processing through unprecedented speed and power.
Control of the socio-economic systems using herding interactions
Collective behavior of the complex socio-economic systems is heavily influenced by the herding, group, behavior of individuals. The importance of the herding behavior may enable the control of the collective behavior of the individuals. In this contribution we consider a simple agent-based herdin...
The marriage of poverty and climate change – implications for disaster risk management | In Verba...