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.
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
Via Complexity Digest
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
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.
Via Ally Greer
“ 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.”
“ 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.”
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
Via Complexity Digest
"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.
Via Bonnie Hohhof
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.
Via jean lievens
"“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?"
Via Brad Abbott, Garry Jenkin
“ 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.”
“ 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...”
Via Viktor Markowski
“ 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.”
Via Helder Gonçalves