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Bits 'n Pieces on Big Data R&D
Information and insight into Big Data R&D
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From mobile phone data to the spatial structure of cities : Scientific Reports : Nature Publishing Group

From mobile phone data to the spatial structure of cities : Scientific Reports : Nature Publishing Group | Bits 'n Pieces on Big Data R&D | Scoop.it
Pervasive infrastructures, such as cell phone networks, enable to capture large amounts of human behavioral data but also provide information about the structure of cities and their dynamical properties. In this article, we focus on these last aspects by studying phone data recorded during 55 days in 31 Spanish cities. We first define an urban dilatation index which measures how the average distance between individuals evolves during the day, allowing us to highlight different types of city structure. We then focus on hotspots, the most crowded places in the city. We propose a parameter free method to detect them and to test the robustness of our results. The number of these hotspots scales sublinearly with the population size, a result in agreement with previous theoretical arguments and measures on employment datasets. We study the lifetime of these hotspots and show in particular that the hierarchy of permanent ones, which constitute the /`heart/' of the city, is very stable whatever the size of the city. The spatial structure of these hotspots is also of interest and allows us to distinguish different categories of cities, from monocentric and [ldquo]segregated[rdquo] where the spatial distribution is very dependent on land use, to polycentric where the spatial mixing between land uses is much more important. These results point towards the possibility of a new, quantitative classification of cities using high resolution spatio-temporal data.
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Scientific method: Statistical errors

Scientific method: Statistical errors | Bits 'n Pieces on Big Data R&D | Scoop.it
P values, the 'gold standard' of statistical validity, are not as reliable as many scientists assume.
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Twitter buzz about papers does not mean citations later

Twitter buzz about papers does not mean citations later | Bits 'n Pieces on Big Data R&D | Scoop.it
Analysis of science on social media service finds little correlation with standard measures of academic success.
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Quantum Google in a Complex Network

Quantum Google in a Complex Network | Bits 'n Pieces on Big Data R&D | Scoop.it
We investigate the behaviour of the recently proposed Quantum PageRank algorithm, in large complex networks.

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ukituki's curator insight, October 16, 2013 3:43 AM

We investigate the behaviour of the recently proposed Quantum PageRank algorithm, in large complex networks. We find that the algorithm is able to univocally reveal the underlying topology of the network and to identify and order the most relevant nodes. Furthermore, it is capable to clearly highlight the structure of secondary hubs and to resolve the degeneracy in importance of the low lying part of the list of rankings. 

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Biology must develop its own big-data systems

Biology must develop its own big-data systems | Bits 'n Pieces on Big Data R&D | Scoop.it
Too many data-management projects fail because they ignore the changing nature of life-sciences data, argues John Boyle.
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Cloud computing beckons scientists

Cloud computing beckons scientists | Bits 'n Pieces on Big Data R&D | Scoop.it
Price and flexibility appeal as data sets grow.
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Elsevier opens its 11M papers to text-mining

Elsevier opens its 11M papers to text-mining | Bits 'n Pieces on Big Data R&D | Scoop.it

Elsevier says that it has now made it easy for scientists to extract facts and data computationally from its more than 11 million online research papers.

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Ralph Poole's curator insight, February 5, 7:27 AM

This is important news for those of us that work with clients in knowledge intensive scientific industries.  Ingesting and analyzing this content will have profound impact on our ability to make connections and see patterns in scientific literature.

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Project ranks billions of drug interactions

Project ranks billions of drug interactions | Bits 'n Pieces on Big Data R&D | Scoop.it

“It’s the largest computational docking ever done by mankind.”


By analysing the chemical structure of a drug, researchers can see if it is likely to bind to, or ‘dock’ with, a biological target such as a protein. Researchers have now unveiled a computational effort that used Google's supercomputers to assesses billions of potential dockings on the basis of drug and protein information held in public databases, finding potentially toxic side effects and allowing researchers to predict how and where a compound might work in the body.

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US electrical grid on the edge of failure

US electrical grid on the edge of failure | Bits 'n Pieces on Big Data R&D | Scoop.it
Network analysis suggests geography makes grid inherently unstable.
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