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Social Dynamics of Science

Social Dynamics of Science | Content in Context | Scoop.it

The birth and decline of disciplines are critical to science and society. How do scientific disciplines emerge? No quantitative model to date allows us to validate competing theories on the different roles of endogenous processes, such as social collaborations, and exogenous events, such as scientific discoveries. Here we propose an agent-based model in which the evolution of disciplines is guided mainly by social interactions among agents representing scientists. Disciplines emerge from splitting and merging of social communities in a collaboration network. We find that this social model can account for a number of stylized facts about the relationships between disciplines, scholars, and publications. These results provide strong quantitative support for the key role of social interactions in shaping the dynamics of science. While several “science of science” theories exist, this is the first account for the emergence of disciplines that is validated on the basis of empirical data.

 

Social Dynamics of Science

Xiaoling Sun, Jasleen Kaur, Staša Milojević, Alessandro Flammini & Filippo Menczer

Scientific Reports 3, Article number: 1069 http://dx.doi.org/10.1038/srep01069


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The Next Phase of Social Business is the Collaborative Economy says Jeremiah Owyang of Altimeter

The Next Phase of Social Business is the Collaborative Economy says Jeremiah Owyang of Altimeter | Content in Context | Scoop.it
Jesse Soininen's insight:

The roles of economy as we know them now are slowly shifting. Ultimately the power of being co-creator (formerly known as the "customer") will have much lager effect than most of us are willing to anticipate now.

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Catherine Pascal's curator insight, March 2, 10:46 AM

Very interesting . Thanks !

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Symbolic regression of generative network models

Symbolic regression of generative network models | Content in Context | Scoop.it
Networks are a powerful abstraction with applicability to a variety of scientific fields. Models explaining their morphology and growth processes permit a wide range of phenomena to be more systematically analysed and understood. At the same time, creating such models is often challenging and requires insights that may be counter-intuitive. Yet there currently exists no general method to arrive at better models. We have developed an approach to automatically detect realistic decentralised network growth models from empirical data, employing a machine learning technique inspired by natural selection and defining a unified formalism to describe such models as computer programs. As the proposed method is completely general and does not assume any pre-existing models, it can be applied “out of the box” to any given network. To validate our approach empirically, we systematically rediscover pre-defined growth laws underlying several canonical network generation models and credible laws for diverse real-world networks. We were able to find programs that are simple enough to lead to an actual understanding of the mechanisms proposed, namely for a simple brain and a social network.Symbolic regression of generative network models • Telmo Menezes & Camille RothScientific Reports 4, Article number: 6284 http://dx.doi.org/10.1038/srep06284See Also: https://github.com/telmomenezes/synthetic
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Flora Moon's curator insight, September 14, 11:13 AM

Big data meets systems and can potentially shines a light on system dynamics....

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Why Privacy Matters Even if You Have 'Nothing to Hide'

Why Privacy Matters Even if You Have 'Nothing to Hide' | Content in Context | Scoop.it
What's the problem with ubiquitous surveillance? Don't think Orwell; think Kafka.
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We as Curators Must Now Become the Change We Want to See on The Web

We as Curators Must Now Become the Change We Want to See on The Web | Content in Context | Scoop.it
This post was curated by Robin Good - I changed the title because I think it captures the message for all of us who post or curate anything for our audiences and for ourselves. Robin Good: If you are interested in understanding how "content curation" differentiates itself from simple re-sharing and re-blogging here is a great article by Chris DeLine. Great advice for anyone wanting to become an effective content curator: “Whether in tweets, in blog posts, in podcasts, or in newsletters, be ruthless with your attention. ... Some adopt a strategy of blanket-curation, throwing everything new or fresh or remotely interesting online and letting other consumers make their own value distinctions. Others assume the role of tastemaker, selectively making the decisions themselves. Both have their place, but the former contributes to what Jonathan Haidt calls “the paradox of abundance,” which he says “undermines the quality of our engagement.” How many content-overload websites can you monitor before you become overwhelmed by volume? How many share-explosions does it take before you remove a friend from your Facebook feed? How many Tumblr pages can you pay attention to before the reblogs become a blur? ... Thoughtful, honest, and caring curation isn’t entirely different than creation. After all, the topics you choose to research, to blog about, and to discuss with friends all begin with the process of sifting through the media abyss yourself and singling out worthwhile information." What really counts is to create content that is useful, meaningful and helpful for others, whether from direct hand authorship, or by curating the best existing resources. Insightful. 8/10 http://chrisdeline.com/curation (Image credit: Shutterstock)
Via Robin Good, janlgordon, Stephen Dale, Shirley Williams (XeeMe.com/ShirleyWilliams), Garry Jenkin
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Sinan Zirić's curator insight, January 19, 2013 8:50 AM

This is an excellent Curation review.

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The Five-Step Maturity Model for Building a Collaborative Organization

The Five-Step Maturity Model for Building a Collaborative Organization | Content in Context | Scoop.it
Organizations typically fall into one of five types of categories when it comes to collaboration in the enterprise.
Via Kenneth Mikkelsen, Brad Abbott, Garry Jenkin
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MyKLogica's comment, April 22, 2013 9:03 AM
Very interesting post, as David Hains and Denyse Drummond-Dunn say for diagnostic purposes, but also for presenting the process to the "unaware" companies, so that they can see the value, and benefits of implementing collaborative cultures in the business industry.
MyKLogica's comment, April 22, 2013 9:04 AM
Ivon Prefontaine you are right, but that should be an opportunity for "3.0 consultants".
Jasmin Rez's comment, April 22, 2013 12:07 PM
Good points shared.
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The Community Manager Manifesto

The Community Manager Manifesto | Content in Context | Scoop.it
With the growth of the social enterprise, multiple conversations online in community manager discussion groups seem to suggest this need for a chat on how the community manager could evolve into a role of seniority within an organization.
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Michael Kuhl's curator insight, January 17, 6:23 AM

As we roll our internal communities this will become a good skill to have.

Manfred Bortenschlager's curator insight, January 26, 2:30 PM

with some interesting info for developer evangelists too

Paula Silva's comment, March 3, 7:41 PM
Will you check this scoop? Thank you so much. http://sco.lt/5okJ17
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Krishnamurti on The Singularity

Krishnamurti on The Singularity | Content in Context | Scoop.it
“ A couple of videos of Jiddu Krishnamurti talking about artificial intelligence and the future of humanity have come to my attention and I thought they might also be of interest to h+ Readers.”
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Here Is A Higher Level Of Evolution: Are You Interested? - Forbes

“ Here Is A Higher Level Of Evolution: Are You Interested?”
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A Neuroscientist’s Radical Theory of How Networks Become Conscious | Science | WIRED

A Neuroscientist’s Radical Theory of How Networks Become Conscious | Science | WIRED | Content in Context | Scoop.it
“ It's a question that's perplexed philosophers for centuries and scientists for decades: Where does consciousness come from? Neuroscientist Christof Koch, chief scientific officer at the Allen Institute for Brain Science, thinks he has an answer.”
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Noam Chomsky (2014) "Internet and Activism"

Chomsky answers the question "Can the Internet help in Activism?"
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Complex Systems Science: From Cell Regulation to the Global Food Crisis

Insights and methods of complex systems science are transforming science and providing clarity about the impact of policies to address major societal problems. These conceptual and mathematical advances allow us to study interdependence, patterns, networks, multiscale behaviors, and “big data.” Here I focus on the application of these advances to real-world concerns. I discuss case studies from global socioeconomic systems and immune cell regulation. Our analysis of the global food crisis exposes the causes and consequences of rapidly increasing and volatile food prices. Food price spikes in 2007–2008 and 2010–2011 triggered food riots across the world and precipitated the Arab Spring. Our quantitative models of nonequilibrium markets show that the food price increases are due to (1) US biofuel quotas increasing the amount of corn to ethanol conversion and (2) deregulation of commodity trading enabling speculator trend-following to cause bubbles and crashes. Policy action by the US and the European Union could alleviate or even resolve these problems. Our analysis of cell regulation makes use of gene expression data to obtain whole-cell regulatory models describing the response of immune cells to dynamic perturbations. Moreover, we have shown that cell dynamics are controlled by attractor states with implications for understanding biological development and treating cancer. Our analyses demonstrate the opportunity for complex systems science to inform both social policy decisions and medical advances. Bar-Yam Y (2014) Complex Systems Science: From Cell Regulation to the Global Food Crisis ISCS 2013: Interdisciplinary Symposium on Complex Systems Emergence, Complexity and Computation Volume 8, 2014, pp 19-28
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BBC Radio 4 program: Everything we know is wrong

BBC Radio 4 program: Everything we know is wrong | Content in Context | Scoop.it
"A highly influential paper by Dr John Ioannidis at Stanford University called "Why most published research findings are false" argues that fewer than half of scientific papers can be believed, and that the hotter a scientific field (with more scientific teams involved), the less likely the research findings are to be true. He even showed that of the 49 most highly cited medical papers, only 34 had been retested and of them 41 per cent had been convincingly shown to be wrong. And yet they were still being cited.
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Essays on Principles of Energetic Materialism: A Meta-theory of Unity of Everything in Diversity

There has been no Big Bang, no past, no present, no future, where our particles have been embedded and floating in the space-time dimension fluxing from big bang towards beyond the borders of the universe, at least as we have been thinking of them. They are still out there, exist, real, knowable, observable, and changeable. Yet in simultaneously existing multitude, of distributed universes which we call them the networked cosmos.
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10 sharing economy underdogs you should know

10 sharing economy underdogs you should know | Content in Context | Scoop.it
“There are hundreds of startups in the sharing economy and collaborative consumption industry. Here are 10 you might not have considered.”
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Forget What You Think You Know About The Office Of The Future

Forget What You Think You Know About The Office Of The Future | Content in Context | Scoop.it
No, we won't all be working from home. The surprising reasons why Google's bee keeping group and Instant Messengers are so powerful.
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Frontiers | Two-Person Neuroscience and Naturalistic Social Communication: The Role of Language and Linguistic Variables in Brain-Coupling Research | Systems Biology

Social cognitive neuroscience (SCN) seeks to understand the brain mechanisms through which we comprehend others’ emotions and intentions in order to react accordingly. For decades, SCN has explored...
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Professor Gunnar Carlsson Introduces Topological Data Analysis

“ An Introduction to Topological Data Analysis by Ayasdi's Gunnar Carlsson”
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The ART of Collaboration | Collabor8Now

The ART of Collaboration | Collabor8Now | Content in Context | Scoop.it
"“Knowledge can only be volunteered, it can’t be conscripted”. A quote from the redoubtable Dave Snowden. But is the same true for collaboration? If people are given the right tools and the right environment, will they spontaneously collaborate and share knowledge? Why do some people find it difficult to share and collaborate? Would incentives and rewards make a difference?"
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The Next Big Thing You Missed: Startup Aims to Give Everyone the Mighty Shipping Power of Amazon

The Next Big Thing You Missed: Startup Aims to Give Everyone the Mighty Shipping Power of Amazon | Content in Context | Scoop.it
“ The premise of Shyp is simple by design---the next best thing to pure teleportation. Download the app, take a picture of the thing you want to ship, put in the address where you want it to go, and done.”
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GWO 2014: Andrew Gardner, "Deep Learning for Data Scientists" - YouTube

“ Slides: http://www.slideshare.net/andrewgardner5811/deep-learning-for-data-scientists-dsatl-talk-alpharetta-20140108 Great Wide Open: http://greatwideopen.org/ (Accessible (no math) talk that covers recent developments in Neural nets 2.0 (aka deep...”
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DARPA explores neuromodulation of organ functions to help the human body heal itself | KurzweilAI

DARPA explores neuromodulation of organ functions to help the human body heal itself | KurzweilAI | Content in Context | Scoop.it
“ DARPA ElectRx (credit: DARPA) DARPA’s new Electrical Prescriptions (ElectRx) (pronounced “electrics”) program aims to develop new high-precision,”
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Complex Networks: An Algorithmic Perspective (by Kayhan Erciyes)

Complex Networks: An Algorithmic Perspective

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“ Network science is a rapidly emerging field of study that encompasses mathematics, computer science, physics, and engineering.”
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Mindfulness and compassion are good for business bottom line

Mindfulness and compassion are good for business bottom line | Content in Context | Scoop.it
Neurosurgeon Dr James Doty from Stanford University talks to Weekend Breakfast about the benefits of compassion, mindfulness and altruism.
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When Diversity Trumps Ability

When Diversity Trumps Ability | Content in Context | Scoop.it
“ A little while ago I listed a few of my favorite readings and videos about collective intelligence. But since then I have been extremely bothered by the fact that I forgot to include in the list so...”
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People helping people: the future of public services | Nesta

People helping people: the future of public services | Nesta | Content in Context | Scoop.it
“Public services should be redesigned to make mobilising the energy and contribution of the public a core organising principle.”
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Why the Goals of Citizen Engagement Are Not What You Think Otis White

Why the Goals of Citizen Engagement Are Not What You Think Otis White | Content in Context | Scoop.it
“ Most local officials have it wrong about citizen engagement. The point isn't to hear what the citizens think about issues before the government. It's about something deeper: understanding citizens' long-term interests and desires.”
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