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What is India speaking: The "Hinglish" invasion

By Rana D. Parshad, Vineeta Chand, Neha Sinha, Nitu Kumari

arXiv:1406.4824 [cs.CL]

 

While language competition models of diachronic language shift are increasingly sophisticated, drawing on sociolinguistic components like variable language prestige, distance from language centers and intermediate bilingual transitionary populations, in one significant way they fall short. They fail to consider contact-based outcomes resulting in mixed language practices, e.g. outcome scenarios such as creoles or unmarked code switching as an emergent communicative norm. On these lines something very interesting is uncovered in India, where traditionally there have been monolingual Hindi speakers and Hindi/English bilinguals, but virtually no monolingual English speakers. While the Indian census data reports a sharp increase in the proportion of Hindi/English bilinguals, we argue that the number of Hindi/English bilinguals in India is inaccurate, given a new class of urban individuals speaking a mixed lect of Hindi and English, popularly known as "Hinglish". Based on predator-prey, sociolinguistic theories, salient local ecological factors and the rural-urban divide in India, we propose a new mathematical model of interacting monolingual Hindi speakers, Hindi/English bilinguals and Hinglish speakers. The model yields globally asymptotic stable states of coexistence, as well as bilingual extinction. To validate our model, sociolinguistic data from different Indian classes are contrasted with census reports: We see that purported urban Hindi/English bilinguals are unable to maintain fluent Hindi speech and instead produce Hinglish, whereas rural speakers evidence monolingual Hindi. Thus we present evidence for the first time where an unrecognized mixed lect involving English but not "English", has possibly taken over a sizeable faction of a large global population.


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ECCS'14 plenary sessions' speakers and parallel sessions' speakers

ECCS'14 plenary sessions' speakers and parallel sessions' speakers | Non-Equilibrium Social Science | Scoop.it

The plenary sessions' speakers are:

Lada Adamic

A-László Barabási

Franco Bernabè 

Raffaella Burioni

Claudio Castellano

Vittoria Colizza

Alain Destexhe

Albert Diaz-Guilera

Vladimir Falko

Silvio Franz

Carlo Jaeger

Wolfgang Kroeger

Stefano Mancuso

Amos Maritan

Mariana Mazzucato

Jose Soares Andrade Jr.

  

The parallel sessions' speakers are:

Hideaki Aoyama

Marc Barthelemy 

Ginestra Bianconi 

Paul Bourgine 

Silvia Capuani

Claudio Conti

Matthieu Cristelli 

Emanuela Del Gado

Ernesto Estrada 

Giancarlo Franzese 

Diego Garlaschelli 

Pietro Liò 

Marcelo Masera

Carmen Miguel 

Esteban Moro

Daniela Paolotti 

Matjaz Perc

Irena Vodenska

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Social Media and the ‘Spiral of Silence’

Social Media and the ‘Spiral of Silence’ | Non-Equilibrium Social Science | Scoop.it
Facebook, Twitter, and other platforms did not provide new outlets for the discussion of the Snowden-NSA revelations. People who thought their social media friends disagreed with them were less likely to discuss the issues in person and online.
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How Could Language Have Evolved?

The evolution of the faculty of language largely remains an enigma. In this essay, we ask why. Language's evolutionary analysis is complicated because it has no equivalent in any nonhuman species. There is also no consensus regarding the essential nature of the language “phenotype.” According to the “Strong Minimalist Thesis,” the key distinguishing feature of language (and what evolutionary theory must explain) is hierarchical syntactic structure. The faculty of language is likely to have emerged quite recently in evolutionary terms, some 70,000–100,000 years ago, and does not seem to have undergone modification since then, though individual languages do of course change over time, operating within this basic framework. The recent emergence of language and its stability are both consistent with the Strong Minimalist Thesis, which has at its core a single repeatable operation that takes exactly two syntactic elements a and b and assembles them to form the set {a, b}.

 

Bolhuis JJ, Tattersall I, Chomsky N, Berwick RC (2014) How Could Language Have Evolved? PLoS Biol 12(8): e1001934. http://dx.doi.org/10.1371/journal.pbio.1001934


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Worse than the 1930s: Europe’s recession is really a depression

Worse than the 1930s: Europe’s recession is really a depression | Non-Equilibrium Social Science | Scoop.it
Europe's self-inflicted wounds are making its recession worse than the worst of the 1930s.
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Eli Levine's curator insight, August 24, 5:23 PM

It would be interesting to compare policies enacted in a time of economic crisis to see which ones led to faster, more robust, and more stable recoveries and which ones did not.  Hypothetically, it would make sense for increased spending to prop up average consumers, rather than protect the established elites' stockpiles of wealth.  One can use it more than the other, and would use it to keep the economy humming along while the other would just sit on it and slowly reintroduce it when they "felt" that the time was right (if ever).  Banks are only going to help banks.  People are going to help themselves work their ways out of economic depression.  Therefore, why not back up the public and let the banks, bankers, and elites (who started the crisis in the first place through their policy choices) go down?  What would keep the government from protecting itself through protecting the public?  How would the elites not benefit from preserving the social unit in the first place rather than keep wealth that they don't and can't use?

 

Just some thoughts.

 

Strange species.

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Science vs Conspiracy: collective narratives in the age of (mis)information

The large availability of user provided contents on online social media facilitates people aggregation around common interests, worldviews and narratives. However, in spite of the enthusiastic rhetoric about the so called {\em wisdom of crowds}, unsubstantiated rumors -- as alternative explanation to main stream versions of complex phenomena -- find on the Web a natural medium for their dissemination. In this work we study, on a sample of 1.2 million of individuals, how information related to very distinct narratives -- i.e. main stream scientific and alternative news -- are consumed on Facebook. Through a thorough quantitative analysis, we show that distinct communities with similar information consumption patterns emerge around distinctive narratives. Moreover, consumers of alternative news (mainly conspiracy theories) result to be more focused on their contents, while scientific news consumers are more prone to comment on alternative news. We conclude our analysis testing the response of this social system to 4709 troll information -- i.e. parodistic imitation of alternative and conspiracy theories. We find that, despite the false and satirical vein of news, usual consumers of conspiracy news are the most prone to interact with them.


By Alessandro Bessi, Mauro Coletto, George Alexandru Davidescu, Antonio Scala, Guido Caldarelli, Walter Quattrociocchi

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Groundbreaking research maps cultural history

Groundbreaking research maps cultural history | Non-Equilibrium Social Science | Scoop.it
New research from Northeastern’s Center for Complex Network Research presents a pioneering approach to understanding European and North American cultural history by mapping out the mobility pattern...

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Introduction to Hypernetworks

Introduction to Hypernetworks | Non-Equilibrium Social Science | Scoop.it

A new module on the Étoile Platform, by Jeffrey Johnson

 

Based on the course presented at the 4th Ph.D. summer School - conference on “Mathematical Modeling of Complex Systems”, Cultural Foundation “Kritiki Estia”, 14 – 25 July, 2014, Athens.

 

The modern world is complex beyond human understanding and control. The science of complex systems aims to find new ways of thinking about the many interconnected networks of interaction that defy traditional approaches. Thus far, research into networks has largely been restricted to pairwise relationships represented by links between two nodes.

This course marks a major extension of networks to multidimensional hypernetworks for modeling multi-element relationships, such as companies making up the stock market, the neighborhoods forming a city, people making up committees, divisions making up companies, computers making up the internet, men and machines making up armies, or robots working as teams. This course makes an important contribution to the science of complex systems by: (i) extending network theory to include dynamic relationships between many elements; (ii) providing a mathematical theory able to integrate multilevel dynamics in a coherent way; (iii) providing a new methodological approach to analyze complex systems; and (iv) illustrating the theory with practical examples in the design, management and control of complex systems taken from many areas of application.


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Beyond Energy, Matter, Time and Space

Beyond Energy, Matter, Time and Space | Non-Equilibrium Social Science | Scoop.it
Humans might think we can figure out the ultimate mysteries, but there is no reason to believe that we have all the pieces necessary for a theory of everything.

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Erdős-Bacon

Erdős-Bacon | Non-Equilibrium Social Science | Scoop.it
This documentary is the handshake that links a famed actor and a legendary mathematician, creating history's lowest Erdős-Bacon number.

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What ‘urban physics’ could tell us about how cities work

What ‘urban physics’ could tell us about how cities work | Non-Equilibrium Social Science | Scoop.it
What does a city look like? To Franz-Josef Ulm, an engineering professor at the Massachusetts Institute of Technology, it looks like a material with a molecular structure. With colleagues, Ulm has begun analyzing cities based on factors such as building arrangement, each building’s center of mass, and how they’re ordered around each other. He has concluded that Boston’s structure looks like an “amorphous liquid.” Seattle is another liquid, and so is Los Angeles. Chicago, which was designed on a grid, looks like glass, he says; New York resembles a highly ordered crystal. If the analogy does hold up, Ulm hopes it will give planners a new tool to understand a city’s structure, its energy use, and possibly even its resilience to climate change.

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Interdisciplinary research: Break out

Interdisciplinary research: Break out | Non-Equilibrium Social Science | Scoop.it

Interdisciplinary research is starting to attract more and more attention — and funding. This year, for example, the US National Science Foundation (NSF) has requested US$63 million (210% more than in 2012) for its INSPIRE (Integrated NSF Support Promoting Interdisciplinary Research and Education) awards programme, which supports research into complex scientific problems such as space-weather monitoring, groundwater restoration and epigenomic analysis of single cells. In an era of stagnant, even shrinking, research funds, such budding fields can be a shrewd choice, especially for early-career researchers.

Interdisciplinary research pulls together disparate expertise to advance an emerging field or solve a multifaceted problem. Nanotechnology, for example, requires knowledge of chemistry, biology and physics, and disease control can involve molecular biologists, biostatisticians, public-health officials and sociologists. Environmental science, with its study of entangled ecosystems and policy impacts, is the quintessential interdisciplinary field. (...)


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Multilayer networks

In most natural and engineered systems, a set of entities interact with each other in complicated patterns that can encompass multiple types of relationships, change in time and include other types of complications. Such systems include multiple subsystems and layers of connectivity, and it is important to take such ‘multilayer’ features into account to try to improve our understanding of complex systems. Consequently, it is necessary to generalize ‘traditional’ network theory by developing (and validating) a framework and associated tools to study multilayer systems in a comprehensive fashion. The origins of such efforts date back several decades and arose in multiple disciplines, and now the study of multilayer networks has become one of the most important directions in network science. In this paper, we discuss the history of multilayer networks (and related concepts) and review the exploding body of work on such networks. To unify the disparate terminology in the large body of recent work, we discuss a general framework for multilayer networks, construct a dictionary of terminology to relate the numerous existing concepts to each other and provide a thorough discussion that compares, contrasts and translates between related notions such as multilayer networks, multiplex networks, interdependent networks, networks of networks and many others. We also survey and discuss existing data sets that can be represented as multilayer networks. We review attempts to generalize single-layer-network diagnostics to multilayer networks. We also discuss the rapidly expanding research on multilayer-network models and notions like community structure, connected components, tensor decompositions and various types of dynamical processes on multilayer networks. We conclude with a summary and an outlook.

 


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Is Social Media Keeping Science Trustworthy?

Is Social Media Keeping Science Trustworthy? | Non-Equilibrium Social Science | Scoop.it
Online discussions and post-publication analyses are catching mistakes that sneak past editorial review.

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Artur Alves's curator insight, July 12, 9:38 PM

Who is afraid of wide-open public visibility for science?

 

"Evaluating research after it’s been published has, of course, always been a crucial element of science. Scientists will challenge published results in letters to journals and arguments at conferences. But those are typically solo efforts by established scientists. Social media and online discussion forums are changing that: they make it easier for junior scientists to participate, let readers compare notes, and, most importantly, provide a public space that is not under the control of journal editors and conference organizers.

 

(...)

 

Peer-review is based on trust, but as the international scientific community grows, scientists won’t spend their careers in the small, trusted networks of known colleagues that earlier generations of researchers were used to. Journals and reviewers need to step up their efforts to check for misconduct, but inevitably, papers with major problems will get through. Crowd-sourced, post-publication review through social media is an effective, publicly open way for science to stay trustworthy"

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Revealing networks from dynamics: an introduction

What can we learn from the collective dynamics of a complex network about its interaction topology? Taking the perspective from nonlinear dynamics, we briefly review recent progress on how to infer structural connectivity (direct interactions) from accessing the dynamics of the units. Potential applications range from interaction networks in physics, to chemical and metabolic reactions, protein and gene regulatory networks as well as neural circuits in biology and electric power grids or wireless sensor networks in engineering. Moreover, we briefly mention some standard ways of inferring effective or functional connectivity.


by Marc Timme, Jose Casadiego

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A taxonomy of clustering procedures

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The Matthew effect in empirical data

The Matthew effect describes the phenomenon that in societies the rich tend to get richer and the potent even more powerful. It is closely related to the concept of preferential attachment in network science, where the more connected nodes are destined to acquire many more links in the future than the auxiliary nodes. Cumulative advantage and success-breads-success also both describe the fact that advantage tends to beget further advantage. The concept is behind the many power laws and scaling behaviour in empirical data, and it is at the heart of self-organization across social and natural sciences. Here we review the methodology for measuring preferential attachment in empirical data, as well as the observations of the Matthew effect in patterns of scientific collaboration, socio-technical and biological networks, the propagation of citations, the emergence of scientific progress and impact, career longevity, the evolution of common English words and phrases, as well as in education and brain development. We also discuss whether the Matthew effect is due to chance or optimisation, for example related to homophily in social systems or efficacy in technological systems, and we outline possible directions for future research.

 

The Matthew effect in empirical data
Matjaz Perc

http://arxiv.org/abs/1408.5124


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Epidemic processes in complex networks

Romualdo Pastor-Satorras, Claudio Castellano, Piet Van Mieghem, Alessandro Vespignani

In recent years the research community has accumulated overwhelming evidence for the emergence of complex and heterogeneous connectivity patterns in a wide range of biological and socio-technical systems. The complex properties of real world networks have a profound impact on the behavior of equilibrium and non-equilibrium phenomena occurring in various systems, and the study of epidemic spreading is central to our understanding of the unfolding of dynamical processes in complex networks. The theoretical analysis of epidemic spreading in heterogeneous networks requires the development of novel analytical frameworks, and it has produced results of conceptual and practical relevance. Here we present a coherent and comprehensive review of the vast research activity concerning epidemic processes, detailing the successful theoretical approaches as well as making their limits and assumptions clear. Physicists, epidemiologists, computer and social scientists share a common interest in studying epidemic spreading and rely on very similar models for the description of the diffusion of pathogens, knowledge, and innovation. For this reason, while we focus on the main results and the paradigmatic models in infectious disease modeling, we also present the major results concerning generalized social contagion processes. Finally we outline the research activity at the forefront in the study of epidemic spreading in co-evolving and time-varying networks.


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A NInequality Is Causing Slower Growth

A NInequality Is Causing Slower Growth | Non-Equilibrium Social Science | Scoop.it
A new report says inequality is causing slower growth. It is not a novel conclusion. The surprise is the source: Standard & Poor’s.
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Stigmergy as a Universal Coordination Mechanism: components, varieties and applications

The concept of stigmergy has been used to analyze self-organizing activities in an ever-widening range of domains, from social insects via robotics and social media to human society. Yet, it is still poorly understood, and as such its full power remains underappreciated. The present paper clarifies the issue by defining stigmergy as a mechanism of indirect coordination in which the trace left by an action in a medium stimulates a subsequent action. It then analyses the fundamental components of the definition: action, agent, medium, trace and coordination. Stigmergy enables complex, coordinated activity without any need for planning, control, communication, simultaneous presence, or even mutual awareness. This makes the concept applicable to a very broad variety of cases, from chemical reactions to individual cognition and Internet-supported collaboration in Wikipedia.  The paper classifies different varieties of stigmergy according to general aspects (number of agents, scope, persistence, sematectonic vs. marker-based, and quantitative vs. qualitative), while emphasizing the fundamental continuity between these cases. This continuity can be understood from a non-linear, self-organizing dynamic that lets more complex forms of coordination evolve out of simpler ones. The paper concludes with two specifically human applications in cognition and cooperation, suggesting that without stigmergy these phenomena may never have evolved.

 

Heylighen, F. (2015). Stigmergy as a Universal Coordination Mechanism: components, varieties and applications. To appear in T. Lewis & L. Marsh (Eds.), Human Stigmergy: Theoretical Developments and New Applications, Studies in Applied Philosophy, Epistemology and Rational Ethics. Springer.
http://pespmc1.vub.ac.be/papers/stigmergy-varieties.pdf


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Tom Cockburn's curator insight, August 3, 3:31 AM

Indirect coordination in self organising

Karlos Svoboda's curator insight, August 5, 4:42 PM

To je počteníčko to Vám povim a pak, že tomu nerozumí

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What makes a good economist?

Prior to the up-coming "5th Lindau Meeting on Economics Sciences" (19-23 August 2014), Nobel Laureates in Economic Sciences and young economists were asked: "What makes a good economist?". Some of their answers have been compiled for this film.

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Decision Making in a Complex and Uncertain World

Decision Making in a Complex and Uncertain World | Non-Equilibrium Social Science | Scoop.it

Leaders must be able to act in a complex world and under uncertainty. This course is a first step to develop yourself into one of the future’s key decision makers or to enhance your decision-making skills.

(...)

The need for a multidisciplinary approach will be emphasized throughout the course. Guest lecturers from different faculties will explain, provide applications and examples from their respective fields of study for a more comprehensive understanding of the different elements of complexity. For example, complexity can be beautifully explained by the use of insects and brains and many other natural and social phenomena. The same ideas can be applied to economic and financial systems.


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Diseases, symptoms, genes, and proteins linked together in giant network

Diseases, symptoms, genes, and proteins linked together in giant network | Non-Equilibrium Social Science | Scoop.it
(Medical Xpress)—The first indication that you're sick is typically one or more symptoms: perhaps a cough, fever, abdominal pain, etc. Symptoms are high-level clinical manifestations of a disease that, at a lower level, is caused by molecular-level components, such as genes and proteins. Understanding ...

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Rationality in collective decision-making by ant colonies

Economic models of animal behaviour assume that decision-makers are rational, meaning that they assess options according to intrinsic fitness value and not by comparison with available alternatives. This expectation is frequently violated, but the significance of irrational behaviour remains controversial. One possibility is that irrationality arises from cognitive constraints that necessitate short cuts like comparative evaluation. If so, the study of whether and when irrationality occurs can illuminate cognitive mechanisms. We applied this logic in a novel setting: the collective decisions of insect societies. We tested for irrationality in colonies of Temnothorax ants choosing between two nest sites that varied in multiple attributes, such that neither site was clearly superior. In similar situations, individual animals show irrational changes in preference when a third relatively unattractive option is introduced. In contrast, we found no such effect in colonies. We suggest that immunity to irrationality in this case may result from the ants’ decentralized decision mechanism. A colony's choice does not depend on site comparison by individuals, but instead self-organizes from the interactions of multiple ants, most of which are aware of only a single site. This strategy may filter out comparative effects, preventing systematic errors that would otherwise arise from the cognitive limitations of individuals.


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A New Way to Protect Data Privacy: Focus on Data Use, Not Data Collection

A New Way to Protect Data Privacy: Focus on Data Use, Not Data Collection | Non-Equilibrium Social Science | Scoop.it

Ever since the Internet became a mass social phenomenon in the 1990s, people have worried about its effects on their privacy. From time to time, a major scandal has erupted, focusing attention on those anxieties; last year’s revelations concerning the U.S. 

National Security Agency’s surveillance of electronic communications are only the most recent example. In most cases, the subsequent debate has been about who should be able to collect and store personal data and how they should be able to go about it. When people hear or read about the issue, they tend to worry about who has access to information about their health, their finances, their relationships, and their political activities.

 

But those fears and the public conversations that articulate them have not kept up with the technological reality. Today, the widespread and perpetual collection and storage of personal data have become practically inevitable. (...)


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▶ 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 World-Wide Web form a nearly ideal substrate for the emergence of a distributed intelligence that spans the planet, integrating the knowledge, skills and intuitions of billions of people supported by billions of information-processing devices. This intelligence becomes increasingly powerful through a process of self-organization in which people and devices selectively reinforce useful links, while rejecting useless ones. This process can be modeled mathematically and computationally by representing individuals and devices as agents, connected by a weighted directed network along which "challenges" propagate. Challenges represent problems, opportunities or questions that must be processed by the agents to extract benefits and avoid penalties. Link weights are increased whenever agents extract benefit from the challenges propagated along it. My research group is developing such a large-scale simulation environment in order to better understand how the web may boost our collective intelligence. The anticipated outcome of that process is a "global brain", i.e. a nervous system for the planet that would be able to tackle both global and personal problems.

 

Summer School in cognitive Science: Web Science and the Mind Institut des sciences cognitives, UQAM, Montréal, Canada http://www.summer14.isc.uqam.ca/

http://www.isc.uqam.ca/ ;

FRANCIS HEYLIGHEN, Vrije Universiteit Brussel, ECCO - Evolution, Complexity and Cognition research group

Towards a Global Brain: the Web as a Self-organizing, Distributed Intelligence

http://youtu.be/w2sznrVtiLg


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Tom Cockburn's curator insight, July 17, 4:06 AM

Apart from outraging some religious groups and upsetting some neo- luddites,this sounds interesting,provided we have some checks and balances/ failsafe options too

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Understanding the group dynamics and success of teams

Tackling complex problems often requires coordinated group effort and can consume significant resources, yet our understanding of how teams form and succeed has been limited by a lack of large-scale, quantitative data. We analyze activity traces and success levels for ~150,000 self-organized, online team projects. While larger teams tend to be more successful, the distribution of activity is highly skewed across the team, with only small subsets of members performing most work. This focused centralization in activity indicates that larger teams succeed not simply by distributing workload, but by acting as a support system for a smaller set of core members. High impact teams are significantly more focused than average teams of the same size, yet are more likely to consist of members with diverse experiences, and these members, even non-core members, are more likely to themselves be core members of other teams. This mixture of size, focus, experience, and diversity points to underlying mechanisms that can be used to maximize the success of collaborative endeavors.


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