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Curated by luiy
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These Amazing Twitter Metadata Visualizations Will Blow Your Mind | #dataviz #bigdata #visualization

These Amazing Twitter Metadata Visualizations Will Blow Your Mind | #dataviz #bigdata #visualization | e-Xploration | Scoop.it
Metadata in Twitter posts lets readers in on your geographic location the language you speak the phone you use and more. They're also a mapmaker's...

Via Aaron Balick
luiy's insight:

Twitter's full data stream--their “firehose”--is a very detailed thing. Access to raw tweet upon raw tweet lets brands know what customers think and allows first responders to instantly tabulate hurricane damage. The firehose is also full of metadata which discloses personal, geographic, and technological information on Twitter's tens of millions of users. Gnip, one of the best known Twitter firehose resellers, just turned a raw sample of metadata from 280 million tweets into an amazing example of data visualization.

 

The fully scalable and searchable visualizations, created by Eric Fischer and MapBoxfor Gnip, uses metadata from 280 million tweets collected from a data sample going back to 2011. Gnip's Ian Cairns told Fast Company in a phone conversation the sample was pruned to remove multiple tweets from the same geographic location in order to emphasize geographic distribution rather than tweet frequency. Gnip and MapBox only selected tweets with location metadata attached, which ranged from 2% to 4% of the total tweets in Twitter's firehose. When posting messages to Twitter, users can choose whether to embed geographic location metadata. According to Cairns, the percentage of tweets with location metadata attached is decreasing over time.

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Google Glass is Orwellian, ridiculous, and 'destroys people,' Noam Chomsky says | #privacy #controverses #cyborgs

Google Glass is Orwellian, ridiculous, and 'destroys people,' Noam Chomsky says | #privacy #controverses #cyborgs | e-Xploration | Scoop.it
Chomsky makes at least one pretty significant mistake, however. He said that Google Glass has a camera and a recorder, "which means that everything that's going on around you goes up on the Interne...
luiy's insight:

“I feel we’re moving into a world that was described pretty accurately by one of the founders of Google,” Chomsky said. “Some reporter asked Eric Schmidt if this was an invasion of privacy … and he said, ‘If you’re doing anything that you don’t want to be on the Internet, you shouldn’t be doing it.’”


Read more at http://venturebeat.com/2013/06/18/google-glass-is-orwellian-ridiculous-and-destroys-people-noam-chomsky-says/#tE50YxjDRgqLtGWj.99

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@awhere : transforming complex data for development

@awhere :  transforming complex data for development | e-Xploration | Scoop.it
luiy's insight:

About aWhere

 

Founded in 1999, aWhere is revolutionizing how agriculture, public health and environmental initiatives are managed and monitored. aWhere is helping global development organizations focus on saving lives and building healthy, sustainable communities by transforming complex data from multiple sources into local, actionable insight through location intelligence in a cloud-based, software-as-a-service (SaaS) environment.

aWhere’s roots lie in deployment of information systems in support of sustainable development. With a historical focus on agriculture, the lessons learned from building and deploying location intelligent information systems in resource constrained environments prove all the more valuable today for global agricultural and health development initiatives.

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Connectograms and Circos Visualization Tool | #dataviz

Connectograms and Circos Visualization Tool | #dataviz | e-Xploration | Scoop.it
Yesterday (May 16) the Public Library of Science (PLoS) published a fascinating article titled "Mapping Connectivity Damage in the Case of Phineas Gage". It analyzes the brain damage which the famo...
luiy's insight:

Since a few years there has been interest in the human connectome. Just like the genome is a map of human genes, the connectome is a map of the connectivity in the human brain. The human brain is enormously complex. Most estimates put the number of neurons in the hundreds of billions and the synaptic interconnections in the hundreds of trillions! Using diffusion weighted (DWI) and magnetic resonance imaging (MRI) one can identify detailed neuron connectivity. This is such a challenging endeavor that it drives the development of many new technologies, including the data visualization. The image resolution and post-processing power of modern instruments is now large enough to create detailed connectomes that show major pathways of neuronal fibers within the human brain.

 

 

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Rescooped by luiy from Urbanisme
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DataParis.io - Une dataviz interactive sur Paris et les Parisiens

DataParis.io - Une dataviz interactive sur Paris et les Parisiens | e-Xploration | Scoop.it
DataParis est une data visualisation qui met en avant des données sur Paris et les Parisiens localisées par le biais du réseau métropolitain.

Via Ma veille, Lockall
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Rescooped by luiy from Présence et influence numériques
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De l’utilité d’enseigner l’identité numérique dés le plus jeune âge...

De l’utilité d’enseigner l’identité numérique dés le plus jeune âge... | e-Xploration | Scoop.it

"Bonjour à tous

J’ai attendu pour ouvrir ce premier billet  car je voulais, après plusieurs années de suivi des environnements socio-numériques mettre en évidence combien il sera de plus en plus utile aujourd’hui de préserver son identité. En effet,  à l’heure ou nos réputations peuvent se faire et se défaire en un instant par mégarde, par méconnaissance des réseaux, voire encore par l’entrée et l’appartenance à des réseaux on a l’impression que toutes les interactions sur la toile et leurs impacts sur notre vie réelle restent trop souvent encore méconnues..."


Via Elodie Garguilo
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Spies for hire: Money over privacy? | #PRISM #privacy #databrokers

Spies for hire: Money over privacy? | #PRISM #privacy #databrokers | e-Xploration | Scoop.it
The PRISM controversy in the US has not just highlighted online privacy issues but shown up a massive security industry.
luiy's insight:

In the US, the Central Intelligence Agency (CIA) and other non-military spy agencies will get $48bn next year. The UK is spending around $3.6bn on its spy agencies. And China's spending on "internal security" was $111bn last year.

Security services, and the private contractors they use, are trawling for data which would, in theory, make us safer. But the idea that the likes of Google, Facebook, Microsoft and Apple gave backdoor access to the NSA to snoop on users' data, has concerned many people.

They all deny it, but still, it begs the question of what your data is really worth - given that most people simply hand over their photos, personal information, and documents to such websites without giving it a second thought.

The data industry in the US alone is worth $300bn a year and it employs some three million people. That is coupled with the online sales industry, which generates $10tn per year.

 

All of this is managed by the more than 2,000 so-called 'data broker companies'. Acxiom Corp is the biggest - with a profit of $77mn in 2011, coming from the largest commercial consumer database with 500 million active users worldwide.

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#SNA : Interlocking Boards of Directors | #awareness #contagion

#SNA : Interlocking Boards of Directors | #awareness #contagion | e-Xploration | Scoop.it
luiy's insight:

The blue nodes in the network above are conduits that move information, ideas, and knowledge between the clusters -- they are the intersection where two networks overlap. Contagion between corporations is often based on flows via Boards of Directors. We apply social network analysis [SNA] to this social graph and we see who may be key in this diffusion process. We apply a new SNA metric, I call Awareness [measures potential awareness of a node to what is happening around it (directly and indirectly) based on it's pattern of connectivity]. Those nodes with higher awareness are shown in a larger size in the diagram below.

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Rescooped by luiy from The future of medicine and health
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The #Avatar Will See You Now | MIT Technology Review | #health

The #Avatar Will See You Now | MIT Technology Review | #health | e-Xploration | Scoop.it
Medical centers are testing new, friendly ways to reduce the need for office visits by extending their reach into patients’ homes.

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Most patients who enter the gym of the San Mateo Medical Center in California are there to work with physical therapists. But a few who had knee replacements are being coached by a digital avatar instead.

The avatar, Molly, interviews them in Spanish or English about the levels of pain they feel as a video guides them through exercises, while the 3-D cameras of a Kinect device measure their movements. Because it’s a pilot project, Paul Carlisle, the director of rehabilitation services, looks on. But the ultimate goal is for the routine to be done from a patient’s home.


“It would change our whole model,” says Carlisle, who is running the trial as the public hospital looks for creative ways to extend the reach of its overtaxed budget and staff. “We don’t want to replace therapists. But in some ways, it does replace the need to have them there all the time.”

Receiving remote medical care is becoming more common as technologies improve and health records get digitized. Sense.ly, the California startup running the trial, is one of more than 500 companies using health-care tools from Nuance, a company that develops speech-recognition and virtual-assistant software. “Our goal is basically to capture the patient’s state of mind and body,” says Ivana Schnur, cofounder of Sense.ly and a clinical psychologist who has spent years developing virtual-reality tools in medicine and mental health.


Via Wildcat2030
luiy's insight:

The Sense.ly software, currently in beta, is also being tested at an addiction and detox clinic in California, doing patient intake and assessment in a crowded waiting room. Schnur hopes the system will eventually be used for even more complex tasks. The company, a product of the French telecommunication company Orange’s Silicon Valley incubator program, is working to include additional features, such as the ability to interpret and respond to a patient’s facial expressions.

 

Of course, doctors see some risks in such approaches, especially if the software makes an error or misinterprets an interaction. Kanter points out that although electronic systems often reduce errors, any errors that occur can propagate more quickly than those made only on paper.

Carlisle, who will enroll 50 to 60 patients by the time the study is done, is looking forward to getting more data. Over time, he hopes, not only will he improve the care of individual patients in their home environments, but what he learns from the data will improve therapy for everyone.

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Kate Drake's curator insight, June 11, 2013 12:27 PM

There's something about an avatar doctor that seems like a bad idea. I think the technology could be used for something very useful and productive in the medical field, but limiting to an even further extent the face time between patient and doctor is not sound medical treatment. 

Rescooped by luiy from Social Network Analysis #sna
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Social Network Analysis of The Iliad and The Odyssey | #SNA #DH

Social Network Analysis of The Iliad and The Odyssey | #SNA #DH | e-Xploration | Scoop.it

Social Network Analysis of The Iliad and The Odyssey Indicates that They Were Likely Based on Real Events “ Today, P J Miranda at the Federal Technological University of Paraná in Brazil .


Via ukituki
luiy's insight:

Today, P J Miranda at the Federal Technological University of Paraná in Brazil and a couple of pals study the social network between characters in Homer’s ancient Greek poem, the Odyssey.

 

Their conclusion is that this social network bears remarkable similarities to Facebook, Twitter and the like and that this may offer an important clue about the origin of this ancient story.

 
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ukituki's curator insight, June 14, 2013 4:50 PM

Odyssey’s social network is small world, highly clustered, slightly hierarchical and resilient to random attacks,” they say. What’s interesting about this conclusion is that these same characteristics all crop up in social networks in the real world.

Rescooped by luiy from Exploring complexity
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Managing Complexity: Strategies for Group Awareness and ...

This presentation is part of the WikiSym + OpenSym 2013 program. Michael Gilbert, Jonathan Morgan, David McDonald, Mark Zachry. In online groups, increasing explicit coordination can increase group cohesion and ...

Via Marinella De Simone
luiy's insight:

In online groups, increasing explicit coordination can increase group cohesion and member productivity. On Wikipedia, groups called WikiProjects employ a variety of explicit coordination mechanisms to motivate and structure member contribution, with the goal of creating and improving articles related to particular topics. However, while explicit coordination works well for coordinating article-level actions, coordinating group tasks and tracking progress towards group goals that involve tracking hundreds or thousands of articles over time requires different coordination strategies. To lower the coordination cost of monitoring and task-routing, WikiProjects centralize coordination activity on WikiProject pages – “micro-sites” which provide a centralized repository of project tools, tasks and targets, and discussion for explicit group coordination. These tools can facilitate shared awareness of member and non-member editing activity on articles that the project cares about. However, whether these tools are as effective at motivating members as explicit coordination, and whether they elicit the same kind of contributions, has not been studied. In this study, we examine one such tool, Hot Articles, and compare its effect on the editing behavior of WikiProject members with a common explicit coordination mechanism: making edit requests on the project talk page.

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#NSA Leaks Present a Business and Ethics Crisis for Silicon Valley | Wired | #privacy #dataawareness

#NSA Leaks Present a Business and Ethics Crisis for Silicon Valley | Wired | #privacy #dataawareness | e-Xploration | Scoop.it
The NSA's Bluffdale, Utah, data center under construction in Nov. 2011. (Photo: NSA) Late last week, as revelations about the National Security Agency'
luiy's insight:

Late last week, as revelations about the National Security Agency’s telephone and internet data gathering programs splashed across the news, attorney Michael Overly heard from one of his clients, a consumer product company that had been looking at moving email systems to a cloud service provider. They’d decided to put their cloud project on hold.

 

“They are simply concerned about their data being accessed by a third party without their knowledge or consent,” says Overly, a partner in the information technology practice at the Los Angeles firm Foley & Lardner. “They have all kinds of things that they’re working on, and they don’t want that information used unless they understand who’s using it.”

 

Overly couldn’t name the company, but their issue was with a top-secret NSA project called Prism. Over the weekend, the Guardian produced a NSA document claiming that $20 million Prism program gave the government direct access to systems at nine technology companies — including Apple, Google, Facebook, and Microsoft. Those companies maintain that the government has no direct access to their systems.

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Brain Implants Could Help Alzheimer’s and Others with Severe Memory Damage | #neuroscience #health

Brain Implants Could Help Alzheimer’s and Others with Severe Memory Damage | #neuroscience #health | e-Xploration | Scoop.it
A maverick neuroscientist believes he has deciphered the code by which the brain forms long-term memories.
luiy's insight:

Theodore Berger, a biomedical engineer and neuroscientist at the University of Southern California in Los Angeles, envisions a day in the not too distant future when a patient with severe memory loss can get help from an electronic implant. In people whose brains have suffered damage from Alzheimer’s, stroke, or injury, disrupted neuronal networks often prevent long-term memories from forming. For more than two decades, Berger has designed silicon chips to mimic the signal processing that those neurons do when they’re functioning properly—the work that allows us to recall experiences and knowledge for more than a minute. Ultimately, Berger wants to restore the ability to create long-term memories by implanting chips like these in the brain.

 

The idea is so audacious and so far outside the mainstream of neuroscience that many of his colleagues, says Berger, think of him as being just this side of crazy. “They told me I was nuts a long time ago,” he says with a laugh, sitting in a conference room that abuts one of his labs. But given the success of recent experiments carried out by his group and several close collaborators, Berger is shedding the loony label and increasingly taking on the role of a visionary pioneer.

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#dataviz : examine qualitative and quantitative indicators | infochurn.com

#dataviz : examine qualitative and quantitative indicators | infochurn.com | e-Xploration | Scoop.it

Via Lamia Ben
luiy's insight:

Following the March 15th plunge in gold prices InfoChurn was used to examine qualitative indicators leading to the drop, based on reporting from CNN.com analysis.  The below visualization shows indications that while the quantitative indicators driving price were steady, chatter around the yellow metal suggested lack of confidence and projections of a “breakdown” and an “ETF outflow.”  In retrospect, these aggragated indicators from over 50 investment news feeds may have tipped investors to the coming drop.

 

The second visualization shows the fallout in the days after the plunge.  Surprisingly many analysis feeds focus on an upcoming bounce in prices, with “BUY” being a common theme.

 

The third Churn below shows article and blog content from a number of major market analysis websites during the week prior to the gold collapse.  Like CNN these sites also seem to warn of a “continuing gold breakdown”, while also commenting on the strength of stocks.  Other concept chains comment the wisdom of gold investment.

Although there is certainly no smoking gun in these tea leaves, they do indicate that there was much attention in the blogosphere around this topic.

 

To create your own Churn and explore these graphs interactively checkout www.infochurn.com.

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Lamia Ben's curator insight, June 19, 2013 4:44 PM

The graph represents a "Semantic Network Visualization" composed of individual concepts aggregated from streaming social media content. The size of the nodes (spheres) indicates the frequency of a concept in the data, while the thickness of the links indicates the frequency of connections between two concepts, and the color indicates that the concept is on a custom Watchlist.

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Hired by an #algorithm: Entelo gets $3.5M to expand data-based recruiting | #bigdata

Hired by an #algorithm: Entelo gets $3.5M to expand data-based recruiting | #bigdata | e-Xploration | Scoop.it
Workers in fields like technology and academia are posting more information about their professional lives online, creating a pool of public data that can be machine-sifted to find job candidates.
luiy's insight:

 

That’s the idea behind Entelo, a start-up that believes algorithms can replace much of the heavy lifting performed by recruiters and HR departments. The San Francisco-based company, whose clients include Yelp and Square, parses millions of data points to create what amounts to a “professional graph” for thousands of skilled employees.

 

As my colleague Derrick Harris explained, Entelo’s data-aggregation software combs through sites like Github and LinkedIn to find job candidates who are likely to be not just qualified, but also available (a burst of online activity is one of the strongest signals someone is ready to move).

 

Entelo now has over 80 paying clients and ten full-time employees, and on Wednesday it announced a $3.5 million funding round led by Battery Ventures with the participation of Menlo Ventures. The company will use the cash to expand its engineering operations and, eventually, to push into new professional verticals beyond tech.

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Will PRISM Impact Open Data Efforts? - Government Technology | #PRISM #opendata #risk

Will PRISM Impact Open Data Efforts? - Government Technology | #PRISM #opendata #risk | e-Xploration | Scoop.it
Will PRISM Impact Open Data Efforts? Government Technology In recent years, many state and local governments have put effort into open data projects that would inspire developers to create apps and find ways to use public data to bring value to...

Via Ivan Begtin
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Visualizing Global Risks 2013 | #dataviz #risk

Visualizing Global Risks 2013 | #dataviz #risk | e-Xploration | Scoop.it
A year ago we looked at Global Trends 2025, a 2008 report by the National Intelligence Commission. The 120 page document made surprisingly little use of data visualization, given the well-funded an...
luiy's insight:

We will look at the abundant use of data visualization in this work, which is published in print as an 80-page .pdf file. The report links back to the companion website, which offers lots of additional materials (such as videos) and a much more interactive experience (such as the Data Explorer). The website is a great example of the benefits of modern layout, with annotations, footnotes, references and figures broken out in a second column next to the main text.

One of the main ways to understand risks is to quantify it in two dimensions, namely its likelihood and its impact, say on a scale from 1 (min) to 5 (max). Each risk can then be visualized by its position in the square spanned by those two dimensions. Often risk mitigation is prioritized by the product of these two factors. In other words, the further right and/or top a risk, the more important it becomes to prepare for or mitigate it.

This work is based on a comprehensive survey of more than 1000 experts worldwide on a range of 50 risks across 5 broad categories. Each of these categories is assigned a color, which is then used consistently throughout the report. Based on the survey results the report uses some basic visualizations, such as a list of the top 5 risks by likelihood and impact, respectively.

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Stanford's Artificial Neural Network Is The Biggest Ever | #virtualbrain

Stanford's Artificial Neural Network Is The Biggest Ever | #virtualbrain | e-Xploration | Scoop.it
Last summer, in conjunction with Stanford researchers,
luiy's insight:

Last summer, in conjunction with Stanford researchers, Google[x], the R&D arm where ideas like Project Glass are born, built the world's largest artificial neural network designed to simulate a human brain. Now Andrew Ng, who directs Stanford's Artificial Intelligence Lab and was involved with Google's previous neural endeavor, has taken the project a step further. He and his team have created another neural network, more than six times the size of Google's record-setting achievement.

 

Artificial neural networks can model mathematically the way biological brains work, allowing the machine to learn to think in the same ways that humans do--making them capable of recognizing things like speech, objects and even cats like we do.

 

The model Google developed in 2012 was made up of 1.7 billion parameters, the digital version of neural connections. It successfully taught itself to recognize cats in YouTube videos. (Because, what else is the human brain good for?)

 

Since then, Ng and other Stanford researchers have created an even bigger network, with 11.2 billion parameters, that only requires the computational power of 16 servers with graphics processing unit, or GPU, computing--compared to the 16,000 CPU processors Google's network required. The technology is being presented at the International Conference on Machine Learning in Atlanta this week.

 

From an AI standpoint, that means we're getting a smidgen closer to being able to give our robots (or drones) human-level intelligence. On the other hand--we should probably just accept the fact that we're that much closer to the sentient-robot takeover. Looking on the bright side, compared to what you're lugging around on top of your neck, 11 billion neural connections isn't that many--the human brain boasts some 100 trillion connections.

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Distinguer la société des mythes par l’analyse des réseaux sociaux - InternetActu.net

Distinguer la société des mythes par l’analyse des réseaux sociaux - InternetActu.net | e-Xploration | Scoop.it

Les réseaux sociaux sont à la mode, mais ils ont toujours existé, et les mathématiques s’y intéressent depuis quelques années déjà…

Mais peut-on utiliser la théorie des réseaux pour examiner des rapports sociaux très anciens, et, en allant plus loin encore, concernant des univers au moins partiellement imaginaires ? Et que peut-on en tirer ?


Via Christian Dhinaut, Pascale Mousset
luiy's insight:

Les auteurs ont également comparé les récits mythiques à des univers ouvertement fantastiques – Harry Potter, ainsi que la Compagnie de l’anneau. Ils se sont aussi inspirés de travaux plus ancienssur le réseau social des super héros de Marvel.

 

Ils ont pu constater que tous les réseaux sociaux, réels ou imaginaires, possèdent la caractéristique “petit monde”; c’est vrai de l’Illiade et de Beowulf, mais également d’Harry Potter et du Tain. Ils possèdent aussi un équilibre structural, de type “les ennemis de mes ennemis sont mes amis”. Mais l’Iliade comporte également la caractéristique assortative, ainsi que Beowulf, à condition toutefois d’éliminer du réseau le personnage principal.

 

La cas du Tain est beaucoup plus ambigu. Il n’est pas “assortatif”, à l’instar d’ailleurs d’Harry Potter.


Son authenticité est donc beaucoup plus sujette à caution. Mais pourtant tout espoir n’est pas perdu. En effet, et ce, contrairement à la plupart des réseaux sociaux “fictifs”, le Tain est bel et bien “libre d’échelle”. Mais avec des bizarreries. En effet expliquent les auteurs, les six personnages duTain sont beaucoup trop bien connectés. Cela donne à cette épopée, selon eux,des caractéristiques à la fois réelles et fictionnelles. Pour Kenna et Caron (.pdf), “Le réseau social de l’histoire complète ressemble à celui de l’univers Marvel, indiquant peut-être qu’on a affaire à l’équivalent d’un “comics” de l’âge de bronze”. En revanche, si on retire les liens faibles (déterminés par une unique rencontre) existants entre certains des 398 personnages de l’épopée irlandaise et les six personnages principaux, ont retrouve des attributs réalistes analogues à ceux existant dans Beowulf et dans l’Iliade. En conséquence, il est possible qu’il se cache derrière cette histoire un fond authentique.

 

Les théories du réseau nous permettront-elles de percer le mystère des grands mythes de l’humanité ? Peut-être, aideront-elles les auteurs des sagas de demain à créer des relations encore plus réalistes entre les personnages. Quel est le degré d’assortativité du Game of Thrones, au fait ?

Rémi Sussan

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Christian Dhinaut's curator insight, June 18, 2013 4:16 AM

Principal constat, le “réseau social” présente bien certaines des capacités des réseaux sociaux “réels”. Autrement dit, poursuit la Technology Review, c’est tout d’abord un “petit monde”. 

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Web companies begin releasing surveillance information after U.S. deal | #surveillance #privacy

Web companies begin releasing surveillance information after U.S. deal | #surveillance #privacy | e-Xploration | Scoop.it
SAN FRANCISCO (Reuters) - Facebook and Microsoft have struck agreements with the U.S.
luiy's insight:

WRESTLING OVER SECRET ORDERS

 

The initial reports about Prism included an internal NSA slide listing the dates that each of nine companies began allowing Prism data collection, starting with Microsoft in 2007 and Yahoo in 2008. The other companies include Apple, AOL and PalTalk as well as YouTube and Skype, which are owned by Google and Microsoft respectively.

 

Sources familiar with the conversations between the government and the Internet companies say there are frequent disagreements over how to handle specific requests.

 

Only one company, Yahoo, is known to have taken the highly unusual step of appealing an order from the Foreign Intelligence Surveillance Court. The company argued in 2008 that the order violated the Fourth Amendment protection against unreasonable searches and seizures.

But U.S. District Judge Bruce Selya, who headed the FISA court's Court of Review, ruled the data collection program did not run afoul of the Bill of Rights.

 

Selya's ruling was published in redacted form, only the second time such a decision had ever been made public. A Justice Department spokesman said it was published at the court's behest, but the executive branch would have had to approve the waiving of secrecy rules.

Two days after that, according to the leaked NSA slides, Google joined the Prism data-collection effort.

 

"When Yahoo lost that case, it dissuaded everyone else from going to court," a person at another company told Reuters.

"A provider seeing that decision erases the doubt about whether a judge would approve this process," said a former lawyer for Yahoo.

 

Twitter, which has positioned itself as a hard-line defender of free speech and customer privacy, is still not participating in Prism. But people familiar with talks between the tech companies and the government said it will likely be forced to comply.

 

In Twitter's case, as in that of some other companies, the objections have ostensibly been about the technological difficulty in complying with orders and the format in which the information will be shared, people familiar with the situation say.

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"share" button : The Anatomy of Large Facebok Cascades | #SNA #dataviz

"share" button : The Anatomy of Large Facebok Cascades | #SNA #dataviz | e-Xploration | Scoop.it
Facebook Data Science wrote a note titled The Anatomy of Large Facebook Cascades. Read the full text here.
luiy's insight:

Ever since Facebook introduced the Share button, users have found it easy to reshare photos and other content they see on Facebook with their friends. In fact, sometimes photos are so widely shared that they generate cascades of tens to hundreds of thousands of reshares. To better understand how these large resharing cascades are generated, we used anonymized data to look in depth at two very popular albeit very different photos from the last year.

 

On November 6, 2012, shortly after the U.S. presidential election was called in favor of Barack Obama, his official Facebook page posted a photo of him hugging the First Lady, Michelle Obama, with the caption "Four more years." This triggered a cascade of over 600,000 reshares, leading to this becoming the most liked photo on Facebook. Half of these reshares were by users directly following the Obama page, while the other half were users who saw it because of a reshare by another user or Facebook page. We refer to this photo as the Obama Victory Photo (OVP).

 

A photo doesn't have to be posted by a very popular page in order to trigger a large cascade. On January 17, 2013, a young Norwegian man by the name of Petter Kverneng posted a photo following the format of other "Million Likes" memes  (MLM). The essence of this meme is that someone claims that they will have some sought after request granted (usually receiving a pet puppy or kitten) if their photo is liked one million times. In Mr. Kverneng's photo he is shown holding up a sign saying that his friend would have sex with him if the photo gets 1 million likes. The intent was not serious, as Mr. Kverneng later told ABC News:  “it started as a joke, and it ended as a joke. Me and Catherine are just friends.”  Nevertheless, the photo received a million likes in less than a day, producing a cascade of reshares, a subset of which is visualized below.

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How Technology Is Destroying Jobs | MIT | #risk #controverses #social change

How Technology Is Destroying Jobs | MIT | #risk #controverses #social change | e-Xploration | Scoop.it
Automation is eliminating the need for people in many jobs. We’ve survived such changes before, but this time it might be different: are we facing a future of stagnant income and worsening inequality?

(...) The machines created at Kiva and Rethink have been cleverly designed and built to work with people, taking over the tasks that the humans often don’t want to do or aren’t especially good at. They are specifically designed to enhance these workers’ productivity. And it’s hard to see how even these increasingly sophisticated robots will replace humans in most manufacturing and industrial jobs anytime soon. But clerical and some professional jobs could be more vulnerable. That’s because the marriage of artificial intelligence and big data is beginning to give machines a more humanlike ability to reason and to solve many new types of problems."


Via Andrea Naranjo
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How The #NSA Uses Social Network Analysis To Map Terrorist Networks | #SNA #privacy

How The #NSA Uses Social Network Analysis To Map Terrorist Networks | #SNA #privacy | e-Xploration | Scoop.it
If the system had been in place in 2001, there is a high probability that the 9-11 network would have been broken up, saving thousands of lives and trillions of dollars.

Via ukituki
luiy's insight:

Ever since The Guardian reported that the National Security Agency (NSA) has been collecting the phone record metadata of millions of Americans, the cable talk circuit has been ablaze with pundits demanding answers to what should be obvious questions.

 

Who knew about the program to collect data? (Apparently, all three branches of government). Who else has been supplying data?  (Just about everybody,according to the Washington Post). What is metadata?  (It’s data about data).

 

The question that nobody seems to be asking is probably the most important one:  What is the NSA doing with the data and why do they need so much of it?  The answer is a relatively new field called social network analysis and, while it may make people uneasy, the benefits far outweigh the risks, so it is probably something we will just have to accept.

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Travailler à haute voix sur Twitter | #collaboration

Travailler à haute voix sur Twitter | #collaboration | e-Xploration | Scoop.it
Bien que les organisations soient de plus en plus nombreuses à implanter des réseaux sociaux d’entreprise destinés en interne à être utilisés par leurs employés, les conversations portant sur le travail empruntent aussi d’autres réseaux : les...
luiy's insight:

Si bien cada vez son más numerosas las organizaciones que optan por implantar redes sociales empresariales destinadas al uso interno, por parte de sus empleados, las conversaciones sobre temas relacionados con el  trabajo pueden realizarse a través de otras redes: los medios sociales digitales «públicos». Por tanto, parece indispensable analizar las prácticas colaborativas en el ámbito del trabajo, en función de las nuevas escalas y de las nuevas modalidades que ofrecen aquellas plataformas que atraviesan las esferas de las actividades privadas y públicas de los empleados. Así, además de considerar la plataforma de microblogging Twitter, que es especialmente utilizada por algunos trabajadores con el propósito de difundir conocimientos tácitos o formales, se analizan también las hipótesis y los puntos de reflexión que están en la base de sus prácticas laborales. Si bien Twitter no ha sido concebida en sus orígenes como una plataforma de conversación ni de colaboración, esta herramienta de microblogging se inmiscuye de manera informal, en el día a día de los trabajadores, permitiéndoles comunicarse, en tiempo real, con un público que excede las fronteras de la organización en la que trabajan, a través de un canal público que no necesariamente ha sido autorizado, reconocido ni controlado por aquella. De esta forma, los comentarios y las interacciones que suscitan estas publicaciones pueden dar lugar al nacimiento de redes informales de colaboración. En el presente artículo se identifican y se caracterizan las distintas modalidades de prácticas informales, sobre el trabajo, y de colaboración digital a través de Twitter. Los ejemplos que aquí se presentan permiten ilustrar el lugar que, espontáneamente, han concedido a Twitter los empleados que voluntariamente han decidido integrarla en sus prácticas profesionales. En este sentido, se distinguen cuatro tipos de usos: los relativos al ámbito laboral, la apertura y transmisión de aspectos de su trabajo, la difusión de intenciones y las preguntas dirigidas a las masas. 

 

----------------------------------------------

 

Vers une conceptualisation des affordances collaboratives de Twitter

 

D’un point de vue théorique, les chercheurs s’inscrivant dans une perspective de la pratique (Corradi, Gherardi et Verzelloni, 2008) – et plus particulièrement ceux qui adoptent les approches de la sociomatérialité  – envisagent les pratiques de travail en tant que configurations sociomatérielles devant être étudiées comme telles (Orlikowski et Scott, 2008) et considèrent que les changements organisationnels et technologiques sont mutuellement constitutifs et inter-reliés (Leonardi, 2009). En ce sens, le concept d’affordance (Gibson, 1979) a été mobilisé par Leonardi pour décrire les contraintes et possibilités inhérentes aux propriétés matérielles des outils numériques dans les organisations (Leonardi, 2010). Treem et Leonardi (2012) proposent d’ailleurs de développer une perspective « relationnelle » des affordances pour décrire la relation entre organisation et médias sociaux.  Celle-ci permet de ne pas se borner à décrire seulement les fonctionnalités des outils et les usages qu’elles permettent pour se tourner vers les actes communicationnels rendus possibles par les médias sociaux. L’application du concept d’affordance avait d’ailleurs été habilement illustrée par Zammuto et al. (2007) qui ont traité de l’influence de la technologie sur les processus organisationnels de façon non-déterministe, en montrant comment certains agencements sociomatériels offrent de nouvelles possibilités « d’actions organisantes ».

 

"Les prochaines étapes de notre recherche seront consacrées à l’exploration et au raffinement de ces (...)

 

Dans le même ordre d’idée, nous croyons que les usages informels que nous avons décrits tirent profit des spécificités matérielles et communicationnelles de la plateforme de microblogage étudiée et favorisent la mise en lumière de ses affordances collaboratives. Nous souhaitons ici apporter notre modeste contribution au développement du concept d’affordance en soulignant plus particulièrement les potentialités collaboratives de Twitter.  Le tableau qui suit reprend les exemples relatés dans cet article pour permettre ultérieurement le développement d’une réflexion sur les liens entre ces différentes dimensions et propose quelques hypothèses relatives aux conséquences organisationnelles possibles.7

 

- See more at: http://ticetsociete.revues.org/1330#sthash.KAZ4Gnms.dpuf

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Google, Ray Kurzweil and the deep learning.. | #neuralnetwork #AI

Google, Ray Kurzweil and the deep learning.. | #neuralnetwork #AI | e-Xploration | Scoop.it
With massive amounts of computational power, machines can now recognize objects and translate speech in real time. Artificial intelligence is finally getting smart.
luiy's insight:

Kurzweil was attracted not just by Google’s computing resources but also by the startling progress the company has made in a branch of AI called deep learning. Deep-learning software attempts to mimic the activity in layers of neurons in the neocortex, the wrinkly 80 percent of the brain where thinking occurs. The software learns, in a very real sense, to recognize patterns in digital representations of sounds, images, and other data.

 

The basic idea—that software can simulate the neocortex’s large array of neurons in an artificial “neural network”—is decades old, and it has led to as many disappointments as breakthroughs. But because of improvements in mathematical formulas and increasingly powerful computers, computer scientists can now model many more layers of virtual neurons than ever before.

 

With this greater depth, they are producing remarkable advances in speech and image recognition. Last June, a Google deep-learning system that had been shown 10 million images from YouTube videos proved almost twice as good as any previous image recognition effort at identifying objects such as cats. Google also used the technology to cut the error rate on speech recognition in its latest Android mobile software. In October, Microsoft chief research officer Rick Rashid wowed attendees at a lecture in China with a demonstration of speech software that transcribed his spoken words into English text with an error rate of 7 percent, translated them into Chinese-language text, and then simulated his own voice uttering them in Mandarin. That same month, a team of three graduate students and two professors won a contest held by Merck to identify molecules that could lead to new drugs. The group used deep learning to zero in on the molecules most likely to bind to their targets.

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