Big Data and Information
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[1408.1529] Self-organization in complex systems as decision making

The idea is advanced that self-organization in complex systems can be treated as decision making (as it is performed by humans) and, vice versa, decision making is nothing but a kind of self-organization in the decision maker nervous systems. A mathematical formulation is suggested based on the definition of probabilities of system states, whose particular cases characterize the probabilities of structures, patterns, scenarios, or prospects. In this general framework, it is shown that the mathematical structures of self-organization and of decision making are identical. This makes it clear how self-organization can be seen as an endogenous decision making process and, reciprocally, decision making occurs via an endogenous self-organization. The approach is illustrated by phase transitions in large statistical systems, crossovers in small statistical systems, evolutions and revolutions in social and biological systems, structural self-organization in dynamical systems, and by the probabilistic formulation of classical and behavioral decision theories. In all these cases, self-organization is described as the process of evaluating the probabilities of macroscopic states or prospects in the search for a state with the largest probability. The general way of deriving the probability measure for classical systems is the principle of minimal information, that is, the conditional entropy maximization under given constraints. Behavioral biases of decision makers can be characterized in the same way as analogous to quantum fluctuations in natural systems.

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Big Data Analytics: Descriptive Vs. Predictive Vs. Prescriptive - InformationWeek

Big Data Analytics: Descriptive Vs. Predictive Vs. Prescriptive - InformationWeek | Big Data and Information | Scoop.it
What distinguishes these three key types of analytics? A data scientist explains the differences.
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Size doesn't matter: can SMEs conquer Big Data?

Size doesn't matter: can SMEs conquer Big Data? | Big Data and Information | Scoop.it
Big Data involves collecting a large volume of information. As SMEs don't have access to the same amount of data as larger corporations, does it mean SMEs can't make use of Big Data? Here is a case study with Ovolo Hotels.
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Predicting Successful Memes using Network and Community Structure

Predicting Successful Memes using Network and Community Structure | Big Data and Information | Scoop.it

Via luiy, Shaolin Tan, António F Fonseca, NESS
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luiy's curator insight, March 27, 2014 1:44 PM

We investigate the predictability of successful memes using their early spreading patterns in the underlying social networks. We propose and analyze a comprehensive set of features and develop an accurate model to predict future popularity of a meme given its early spreading patterns. Our paper provides the first comprehensive comparison of existing predictive frameworks. We categorize our features into three groups: influence of early adopters, community concentration, and characteristics of adoption time series. We find that features based on community structure are the most powerful predictors of future success. We also find that early popularity of a meme is not a good predictor of its future popularity, contrary to common belief. Our methods outperform other approaches, particularly in the task of detecting very popular or unpopular memes.

António F Fonseca's curator insight, April 2, 2014 6:01 AM

Another paper about popularity prediction.

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ECCS'14 - submissions for contributed talks/posters

ECCS'14 - submissions for contributed talks/posters | Big Data and Information | Scoop.it

Submissions for contributed talks/posters will be open until April 15 2014. Acceptance will be communicated on April 30 2014 at the latest. Contributions must be submitted through EasyChair.org at the page https://www.easychair.org/conferences/?conf=eccs14


Via NESS
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Big data: are we making a big mistake?

Big data: are we making a big mistake? | Big Data and Information | Scoop.it

by Tim Harford

Five years ago, a team of researchers from Google announced a remarkable achievement in one of the world’s top scientific journals, Nature. Without needing the results of a single medical check-up, they were nevertheless able to track the spread of influenza across the US. What’s more, they could do it more quickly than the Centers for Disease Control and Prevention (CDC). Google’s tracking had only a day’s delay, compared with the week or more it took for the CDC to assemble a picture based on reports from doctors’ surgeries. Google was faster because it was tracking the outbreak by finding a correlation between what people searched for online and whether they had flu symptoms.

 

Not only was “Google Flu Trends” quick, accurate and cheap, it was theory-free. Google’s engineers didn’t bother to develop a hypothesis about what search terms – “flu symptoms” or “pharmacies near me” – might be correlated with the spread of the disease itself. The Google team just took their top 50 million search terms and let the algorithms do the work.

 

The success of Google Flu Trends became emblematic of the hot new trend in business, technology and science: “Big Data”. What, excited journalists asked, can science learn from Google?


Via NESS
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Why the search for Bitcoin's founder matters - opinion - 07 March 2014 - New Scientist

Why the search for Bitcoin's founder matters - opinion - 07 March 2014 - New Scientist | Big Data and Information | Scoop.it
Attempts to unmask digital currency guru Satoshi Nakamoto could prove a pivotal moment in the rise of a new economy, says Jacob Aron
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U.S. Army Considers Replacing Thousands of Soldiers With Robots - IEEE Spectrum

U.S. Army Considers Replacing Thousands of Soldiers With Robots - IEEE Spectrum | Big Data and Information | Scoop.it
The United States Army could slash personnel numbers and toss in more robots instead
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Zach Sims says programming skills—and his startup—offer a sure route to employment.

Zach Sims says programming skills—and his startup—offer a sure route to employment. | Big Data and Information | Scoop.it
Codecademy's Zach Sims says he created his online instructional startup in the belief that computer-programming skills can be a ticket to upward mobility.
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Physicists discover 'clearest evidence yet' that the Universe is a hologram

Physicists discover 'clearest evidence yet' that the Universe is a hologram | Big Data and Information | Scoop.it
A team of physicists have provided what has been described by the journal Nature as the “clearest evidence yet” that our universe is a hologram.
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Top Websites Secretly Track Your Device Fingerprint - IEEE Spectrum

Top Websites Secretly Track Your Device Fingerprint - IEEE Spectrum | Big Data and Information | Scoop.it
Browser fingerprint tracking can bypass cookie restrictions and ignores the Do Not Track header
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Want Smart Kids? Talk to Them—and Listen to Them.

Want Smart Kids? Talk to Them—and Listen to Them. | Big Data and Information | Scoop.it
Pediatric surgeon Dana Suskind understands the gravity of her responsibility when a parent entrusts her to cut into a baby’s head.
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The Emerging Pitfalls Of Nowcasting With Big Data | MIT Technology Review

The Emerging Pitfalls Of Nowcasting With Big Data | MIT Technology Review | Big Data and Information | Scoop.it
Statisticians have boasted of the benefits of big data. Now they’re discovering the weaknesses.
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Update Your Projects for C++ 15.0 and Parallel Studio 2015

 After you install the 2015 beta of Parallel Studio, you'll get an update to the Visual Studio integration. But your projects won't automatically update. Jeff Cogswell shows you how to update a C++ project and try out the new reporting features. With the 2015 version of Parallel Studio on the horizon, and the beta version…
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Eight (No, Nine!) Problems With Big Data

Eight (No, Nine!) Problems With Big Data | Big Data and Information | Scoop.it

BIG data is suddenly everywhere. Everyone seems to be collecting it, analyzing it, making money from it and celebrating (or fearing) its powers. Whether we’re talking about analyzing zillions of Google search queries to predict flu outbreaks, or zillions of phone records to detect signs of terrorist activity, or zillions of airline stats to find the best time to buy plane tickets, big data is on the case. By combining the power of modern computing with the plentiful data of the digital era, it promises to solve virtually any problem — crime, public health, the evolution of grammar, the perils of dating — just by crunching the numbers.


Via Complexity Digest
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Network communities within and across borders

Network communities within and across borders | Big Data and Information | Scoop.it
We investigate the impact of borders on the topology of spatially embedded networks. Indeed territorial subdivisions and geographical borders significantly hamper the geographical span of networks thus playing a key role in the formation of network communities. This is especially important in scientific and technological policy-making, highlighting the interplay between pressure for the internationalization to lead towards a global innovation system and the administrative borders imposed by the national and regional institutions. In this study we introduce an outreach index to quantify the impact of borders on the community structure and apply it to the case of the European and US patent co-inventors networks. We find that (a) the US connectivity decays as a power of distance, whereas we observe a faster exponential decay for Europe; (b) European network communities essentially correspond to nations and contiguous regions while US communities span multiple states across the whole country without any characteristic geographic scale. We confirm our findings by means of a set of simulations aimed at exploring the relationship between different patterns of cross-border community structures and the outreach index.

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Topics in social network analysis and network science

This chapter introduces statistical methods used in the analysis of social networks and in the rapidly evolving parallel-field of network science. Although several instances of social network analysis in health services research have appeared recently, the majority involve only the most basic methods and thus scratch the surface of what might be accomplished. Cutting-edge methods using relevant examples and illustrations in health services research are provided.

by A. James O'Malley, Jukka-Pekka Onnela

arXiv:1404.0067 [physics.soc-ph]


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Eli Levine's curator insight, April 16, 2014 6:08 PM

A very cool and comprehensive look at how networks can be analyzed, studied and examined.

 

Way cool science!

 

Think about it.

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How Cloud Computing Could Have Helped Locate MH370

How Cloud Computing Could Have Helped Locate MH370 | Big Data and Information | Scoop.it
As the biggest ever hunt for a missing plane continues, many are beginning to wonder if we will ever know what happened to Malaysia Airlines flight MH...
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In the Company of Wealth | Dragons and Pandas | Big Think

In the Company of Wealth | Dragons and Pandas | Big Think | Big Data and Information | Scoop.it
“Now, working elbow to elbow with billionaires, I was a giant fireball of greed.” –Sam Polk BREAK it down: Obscenely rich people from 2013 meet in Davos, Switzerland, to discuss how to get ludicrously rich in 2014; Japan’s Abe reminds Western...
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Top emitter China ‘doing things right’ on global warming’: UN climate official

Top emitter China ‘doing things right’ on global warming’: UN climate official | Big Data and Information | Scoop.it
It may be more known for its smog problems and its sizeable greenhouse gas emissions, but a UN climate change official says China is “doing it right” when it comes to addressing global warming, a report says....
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3D Printing: On the Brink of Disruption

3D Printing: On the Brink of Disruption | Big Data and Information | Scoop.it
3D printing could make every business and living room a manufacturing plant. 3D printing: the most important invention since the personal computer?
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Whoa: Watch Scientists Use Sound Waves to Make Things Levitate | Wired Design | Wired.com

What we see in their latest proof of concept clip is fairly dumbfounding: Arrangements of tiny little beads lift into the air and glide around in perfect formation.
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This astounding video just took projection-mapping to the next level

This astounding video just took projection-mapping to the next level | Big Data and Information | Scoop.it
This is what you get when you combine robotics, the projection-mapping of 3D computer graphics, and an actor all working together in perfect synchronization. It's a five-minute short film called "The Box" — and it's nothing short of revolutionary.
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