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Networks, #complexity, and #privacy, by Casilli I #SNA

ATHENS programme seminar by Antonio A. Casilli (Telecom ParisTech, Nov. 19, 2013).
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La NSA a "continuellement" enfreint la loi pour collecter des données I #privacy #NSA #DataAwareness

La NSA a "continuellement" enfreint la loi pour collecter des données I #privacy #NSA #DataAwareness | e-Xploration | Scoop.it
D'anciens juges de la cour censée surveiller l'agence de renseignement américaine ont dénoncé à plusieurs reprises des collectes illégales de données.
luiy's insight:

DONNÉES COLLECTÉES ILLÉGALEMENT, EXPLOITÉES LÉGALEMENT


Dans son ordonnance, Colleen Kollar-Kotelly s'interroge notamment sur deux techniques, qui permettent d'enregistrer les informations entrantes et sortantes des communications téléphoniques (et potentiellement internet) : le "pen register"et les "trap & trace devices". Des méthodes de collecte jamais clairement définies par la loi, qui englobent selon elle "un spectre exceptionnellement large de collecte" de données.


Le juge John Bates, qui lui a succédé en 2006, abonde dans son sens : "La NSA a continuellement outrepassé les limites de l'acquisition légale" d'informations."Presque chaque" enregistrement réalisé par le programme "comprenait des données dont la collecte n'était pas autorisée", écrit-il. Or, le quotidien britannique rapportait en août qu'un vide juridique permettait à l'agence américaine d'exploiterdes informations collectées illégalement (en dehors de tout mandat), mais "par inadvertance". Quelques jours plus tard, l'actuel président de la FISC, Reggie B. Walton, reconnaissait dans le Washington Post manquer de moyens pour menersa mission de surveillance de la NSA.

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How Benoit Mandelbrot Discovered #Fractals: A Short Film by Errol Morris I #complexity

How Benoit Mandelbrot Discovered #Fractals: A Short Film by Errol Morris I #complexity | e-Xploration | Scoop.it
Documentary filmmaker Errol Morris talked with Benoit Mandelbrot about the origins of fractals in 2010, only 19 days before the mathematician's death. You can watch the short film online.
luiy's insight:

Even if you know little of mathematics, you probably have some awareness of fractals. You’ve almost certainly heard them invoked, correctly or otherwise, to describe things that look or act the same at the large scale as they do at the small. You may even know the name Benoit Mandelbrot, the much-laureled Polish-French-American “father of fractal geometry.” Hard science-fiction titan Arthur C. Clarke called his eponymous set of mathematical points “one of the most astonishing discoveries in the entire history of mathematics.” Nassim Nicholas Taleb, the famously discriminating author of The Black Swan, called him ”the only person for whom I have had intellectual respect.” Even former French president Nicolas Sarkozy gave Mandelbrot his props, crediting his discoveries of the geometrical regularities of “rough” things, from coastlines to stock-market fluctuations, as antecedent to modern information theory. He also acknowledged Mandelbrot’s having carried on his work “entirely outside mainstream research,” and the mathematician’s reputation as an unusually insightful intellectual maverick survives him.

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graph-tool: Efficent network analysis with python I #SNA #python

graph-tool: Efficent network analysis with python I #SNA #python | e-Xploration | Scoop.it
graph-tool: Efficent network analysis with python
luiy's insight:

Graph-tool is an efficient Python module for manipulation and statistical analysis ofgraphs (a.k.a. networks). Contrary to most other python modules with similar functionality, the core data structures and algorithms are implemented in C++, making extensive use of template metaprogramming, based heavily on the Boost Graph Library. This confers it a level of performance which is comparable (both in memory usage and computation time) to that of a pure C/C++ library.

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The Internet of things in #agriculture I #innovation

The Internet of things in #agriculture I #innovation | e-Xploration | Scoop.it
The Internet of things (IoT) will enable profound improvements in productivity. To see it in action, let’s use a farmer and food production as an example.

Via Pierre Levy
luiy's insight:

The industrial farm is leading the way for consumer technology. We can dream about autonomous cars that drive themselves. This is already reality on a farm. Dible notes that the tractors and combines use GPS to control steering. “This relieves the operator from having to concentrate on driving. It allows closer monitoring of the equipment which helps lessen mistakes.”

 

Between seed technology, special fungicides, herbicides, pesticides, new methods, and improved control, farming is changing as fast as any other high-tech endeavor.  But it is also like working on an engineering program – lots of long hours, and attention to details. “The thing about being an engineer is that you spend your time solving other people’s problems.  Now I have to solve my own problems,” quips Dible.

 

If Dible’s farm can monitor and care for each stalk of corn, it’s not hard to see that soon our homes and cars will monitor and care for each of their occupants. The internet of things is ready to let us make another great stride in human progress.

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Sciencescape Tutorial - Medialab Science Po I #dataviz #scientometrics

Vimeo is the home for high-quality videos and the people who love them.
luiy's insight:

We developed a new version of our tool ScienceScape this summer. We wanted students to be able to get easy insights from their Scopus results. Tommaso is now presenting how to do that!


http://www.medialab.sciences-po.fr/blog/sciencescape-tutorial-helpers-for-scientometrics/

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Essay of the Day: #CollectiveIntelligence and Neutral Point of View in the Case of Wikipedia I #CI


Via Pierre Levy
luiy's insight:

We examine whether collective intelligence helps achieve a neutral point of view (NPOV) using data from Wikipedia’s articles on US politics. Our null hypothesis builds on Linus’ Law, often expressed as “Given enough eyeballs, all bugs are shallow.” Our findings are consistent with a narrow interpretation of Linus’ Law, namely, a greater number of contributors to an article makes an article more neutral. No evidence supports a broad interpretation of Linus’ Law. Moreover, several empirical facts suggest the law does not shape many articles. The majority of articles receive little attention, and most articles change only mildly from their initial slant. Our study provides the first empirical evidence on the limit of collective intelligence. While many managers believe that they could improve their products by taking advantage of the wisdom of crowds, we show that in the case of Wikipedia, there are aspects such as NPOV that collective intelligence does not help achieve successfully.

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Frederic DOMON's curator insight, November 17, 2013 2:28 PM

Our study provides the first empirical evidence on the limit of collective intelligence. While many managers believe that they could improve their products by taking advantage of the wisdom of crowds, we show that in the case of Wikipedia, there are aspects such as NPOV that collective intelligence does not help achieve successfully.

Paz Barceló's curator insight, November 18, 2013 6:18 AM

Sobre los límites de la inteligencia colectiva.

Rick Frank's curator insight, November 18, 2013 9:34 AM

Interesting idea, but OMG this is boring to read, needs some STYLE.

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Data Vis Consulting: Advice for Newbies I #dataviz #workflow - @moritz_stefaner

Data Vis Consulting: Advice for Newbies I #dataviz #workflow - @moritz_stefaner | e-Xploration | Scoop.it
luiy's insight:

Moritz, who most frequently works on what I'd class as "cool data set vis" projects, tells me he usually requests a data sample and some answers to a few questionsclarifying the context and basic motivation of the project before starting:

 

Why are we doing this?What are you hoping to achieve?Who are we targeting?How is the end product going to be used?How are we publishing?What data do we have available?Which other existing materials should we take into account?Which constraints do we have?Who is responsible for what?Who else is doing something similar?

 

For Moritz, answers to these questions help him understand why the client thinks a data visualization is important, and also help define success criteria for the project. He says, “Often, both the client and I realize that half of these questions cannot be answered yet, but that's fine, as long as we make sure to answer them along the way.” 

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C.I.A. Collects Global Data on Transfers of Money I #surveillance #privacy

C.I.A. Collects Global Data on Transfers of Money I #surveillance #privacy | e-Xploration | Scoop.it
The agency is secretly collecting bulk records of international money transfers, under the same law that the National Security Agency uses for its phone record database, according to government officials.
luiy's insight:

The C.I.A. financial records program, which the officials said was authorized by provisions in the Patriot Act and overseen by the Foreign Intelligence Surveillance Court, offers evidence that the extent of government data collection programs is not fully known and that the national debate over privacy and security may be incomplete.

 

Some details of the C.I.A. program were not clear. But it was confirmed by several current and former officials, who spoke on the condition of anonymity because the matter is classified.

The data does not include purely domestic transfers or bank-to-bank transactions, several officials said. Another, while not acknowledging the program, suggested that the surveillance court had imposed rules withholding the identities of any Americans from the data the C.I.A. sees, requiring a tie to a terrorist organization before a search may be run, and mandating that the data be discarded after a certain number of years. The court has imposed several similar rules on the N.S.A. call logs program.

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#Quantum 'world record' smashed

#Quantum 'world record' smashed | e-Xploration | Scoop.it

A fragile quantum memory state has been held stable at room temperature for a "world record" 39 minutes - overcoming a key barrier to ultrafast computers.


Via Szabolcs Kósa
luiy's insight:

"Qubits" of information encoded in a silicon system persisted for almost 100 times longer than ever before.

 

Quantum systems are notoriously fickle to measure and manipulate, but if harnessed could transform computing.

 

The new benchmark was set by an international team led by Mike Thewalt of Simon Fraser University, Canada.

Continue reading the main story“Start Quote

"39 minutes may not seem very long. But these lifetimes are many times longer than previous experiments”

Stephanie SimmonsOxford University

"This opens the possibility of truly long-term storage of quantum information at room temperature," said Prof Thewalt, whose achievement is detailed in the journal Science.

In conventional computers, "bits" of data are stored as a string of 1s and 0s.

 

But in a quantum system, "qubits" are stored in a so-called "superposition state" in which they can be both 1s and 0 at the same time - enabling them to perform multiple calculations simultaneously.

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Thanks, Snowden! Now All The Major Tech Companies Reveal How Often They Give Data To Government | #PRISM

Thanks, Snowden! Now All The Major Tech Companies Reveal How Often They Give Data To Government | #PRISM | e-Xploration | Scoop.it
An infographic to compare how often tech companies get government search queries and how many of their users are affected.
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VOSviewer. #Dataviz | #SNA #clustering

VOSviewer. #Dataviz | #SNA #clustering | e-Xploration | Scoop.it
VOSviewer is a freely available computer program for creating, visualizing, and exploring bibliometric maps of science.
luiy's insight:

VOSviewer is a freely available computer program that can be used for the following purposes:

 

VOSviewer can be used to create maps based on network data. Maps are created using the VOS mapping technique and the VOS clustering technique.VOSviewer can be used to view and explore maps. It can show a map in various different ways, each emphasizing a different aspect of the map. It offers functionality such as zooming, scrolling, and searching, which facilitates the detailed examination of a map. 

VOSviewer is primarily intended to be used for analyzing bibliometric networks. The program can for instance be used to create maps of publications, authors, or journals based on a co-citation network or to create maps of keywords based on a co-occurrence network. Various examples of maps created using VOSviewer are available here.

 

VOSviewer has been written in the Java programming language and runs on most hardware and operating system platforms. VOSviewer can be downloaded here. The program can also be started directly by clicking the Launch button below.

 

- See more at: http://www.vosviewer.com/#!

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El narco también hace “duckface”; las selfies del crimen organizado causan revuelo en la red | #narco #socialmedia

El narco también hace “duckface”; las selfies del crimen organizado causan revuelo en la red | #narco #socialmedia | e-Xploration | Scoop.it
Ciudad de México, 16 de noviembre(SinEmbargo).- La guerra contra el narco dejó en México una tendencia marcada a la violencia, muchas veces artificiosa y
luiy's insight:

Así, los carteles utilizan ahora plataformas como YouTube para limpiar su imagen y reforzar las relaciones públicas más positivas, como lo han hecho ver algunos reportajes realizados que ahora circulan en diversos canales de video en internet. Tal es el caso del Cartel del Golfo, el cual lanzó un video en donde se congratulan por haber entregado varias toneladas de víveres a cientos de habitantes del estado de Veracruz, tras el paso de la tormenta tropical “Ingrid” por la entidad. Al respecto, Vice entrevistó Antoine Nouvet, que está trabajando en un proyecto llamado Open Empowerment Initiative (iniciativa de empoderamiento abierto), que explora las positivas y no tan positivas maneras que los cárteles están utilizando los medios sociales. De esta manera, se tiene que la imagen es una manera más en la que el crimen está marcando su territorio en Facebook, Twitter e Instagram. Es en este rubro en donde aparece un hombre llamado “Broly”, el cual dice ser parte del cartel de los Caballeros Templarios, y su duckface se ha convertido en viral y en las delicias de la especulación mediática.

Este contenido ha sido publicado originalmente por SINEMBARGO.MX en la siguiente dirección: http://www.sinembargo.mx/16-11-2013/815165. Si está pensando en usarlo, debe considerar que está protegido por la Ley. Si lo cita, diga la fuente y haga un enlace hacia la nota original de donde usted ha tomado este contenido. SINEMBARGO.MX

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Social Networks. Special Issue on Political Networks I #SNA #politics #OpenAccess

Social Networks. Special Issue on Political Networks I #SNA #politics #OpenAccess | e-Xploration | Scoop.it
The online version of Social Networks at ScienceDirect.com, the world's leading platform for high quality peer-reviewed full-text journals.
luiy's insight:

Under the onslaught of the research on networks, political science has begun to shift from its often asocial, atomistic moorings to become, literally, a more social science. We believe that this is a healthy move, paradigmatically. There are few political phenomena at any level of analysis that do not have a relational aspect. Political opinions do not form in a social vacuum. Coalitions must in part reflect prior relationships and collaborations. Conflict between nations must in part depend on the relationships of those states with third parties. Power is not a unitary construct but dependent on a broader field of connections among actors and resources. We anticipate further growth in this space for supply and demand reasons. On the demand side, the marginal returns are still quite high because of its relative under development in the discipline. On the supply side, there has been a proliferation of data sources, statistical tools, and training (inside and outside the discipline) to make the study of networks far more tractable now than even just a few years ago. The contributions in this volume thus represent a downpayment on intellectual dividends to come.

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Amazon.com: the Hidden Empire I #cyberculture

Our "most favorited" 2011 study revealing Amazon.com's strategies for dominating online retail has been updated to include analyses on all of the company's late
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Google Online Takedown Requests Browser I #dataviz #bigdata

Google Online Takedown Requests Browser I #dataviz #bigdata | e-Xploration | Scoop.it
An interactive visual Google Online Takedown Requests browser by Frontwise!
luiy's insight:
ABOUT THIS BROWSER

This browser visualizes trends and patterns in Google online takedown requests from copyright owners and governments. It provides a monthly overview of requests and targeted domains or products, ordered by time and volume. Colors indicate if requests were justified, and the degree of copyright infringement of the targets. Extended information about requests and targets can be revealed by hovering or clicking items

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rattle - #Datamining toolkit in R I #datascience

"Rattle (the R Analytical Tool To Learn Easily) provides a simple and logical interface for data mining. It is a new data mining application based on the open source and free statistical language R using the Gnome graphical interface. The application runs under GNU/Linux and MS/Windows. The aim is to provide an intuitive interface that takes you through the basic steps of data mining, as well as illustrating the R code that is used to achieve this. Whilst the tool itself may be sufficient for all of a user's needs, it also provides a stepping stone to more sophisticated processing and modelling in R itself, for sophisticated and unconstrained data mining."


Via João Greno Brogueira
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The Invisible Bicycle Helmet | #innovation #DesignThinking

“If people say it’s impossible we have to prove them wrong.” Design students Anna and Terese took on a giant challenge as an exam project. Something no one had…
luiy's insight:

“If people say it’s impossible we have to prove them wrong.”
Design students Anna and Terese took on a giant challenge as an exam project. Something no one had done before. If they could swing it, it would for sure be revolutionary. The bicycle is a tool to change the world. If we use bikes AND travel safe: Life will be better for all.

Support Bikes vs Cars Kickstarter campaign at kickstarter.com/projects/fredrik-gertten/bikes-vs-cars-we-are-many, WE ARE MANY.

 

Join the conversation and tweet #InvsHelmet to have your tweet featured on the GE FOCUS FORWARD website. Go tofocusforwardfilms.com/films/49/ to see the discussion.

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The science behind data visualisation I #dataviz #SNA

The science behind data visualisation I #dataviz #SNA | e-Xploration | Scoop.it
Courtesy of Net Magazine and originally posted by Alberto Cairo Graham Odds outlines principles that will help you to design more...
luiy's insight:
System 1 vs System 2

Daniel Kahnemann, in Thinking, Fast and Slow, introduces the terms System 1 and System 2 to differentiate between the information processing that occurs in our sub-conscious and conscious minds respectively. The former encapsulates the functions that are uncontrolled, always-on and effortless, while the latter refers to those functions that are controlled but require effort to engage.

 

To better understand the differences between System 1 and System 2, consider Figure 1. In the photograph on the left we immediately perceive an angry man and probably associate loud noise and aggressive movement with the depicted scene. This exceedingly sophisticated interpretation of mere pixels is almost immediate, requires no effort and comes completely naturally. Contrast that with the multiplication on the right. We instantly recognise what is being asked of us and that we are able to work it out, but most will not attempt the mental arithmetic involved because of the conscious effort required. The initial reactions in both cases are pure System 1, while the mental arithmetic is an example of System 2.

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Why Infographics are a Great Way to Show the History of the World I #dataviz #DH

Why Infographics are a Great Way to Show the History of the World I #dataviz #DH | e-Xploration | Scoop.it
The Infographic History of the World is a new book that continues to push the field of infographics forward. With beautiful printing and meaningful graphics,
luiy's insight:

Being a designer, I usually find it easier to present stories or ideas with scribbles, rather than simply trying to explain them with words. Often, complex stories are more easily communicated, understood and, ultimately, remembered, when they take visual form.

 

Aside from data and words, infographics use images and graphical representations. Those key elements – images, words and numbers – operate as a system for simplifying information, revealing new patterns, and producing new knowledge in various fields. In fact, they might not have always been called “infographics,” but info/data-based visualizations have always been around.

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Data Journalism Awards winners | #dataviz #dja

Data Journalism Awards winners | #dataviz #dja | e-Xploration | Scoop.it
Over 300 applications from all over the world, and the winners were just announced
luiy's insight:

The Data Journalism Awards (DJA) is the prime international competition recognizing outstanding work in the field of data journalism. Sponsored by Google, the DJA 2013 received over 300 applications from all over the world, ranging from major media groups, regional newspapers, and research groups, and the winners were just announced at the award ceremony held at the Global Editors Network News Summit.


- See more at: http://visualoop.com/9472/data-journalism-awards-winners#sthash.CAvWCmIA.dpuf

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Mapping Crime Data with Infint.e I #dataviz #DataJournalism

Data-Journalism Section or Website: Thomson Reuters for "Connected China" Reuters Connected Chaina uses not only a formidable amount of statistics but also s...
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Information Geographies » World-wide news web | #dataviz #SNA

Information Geographies » World-wide news web | #dataviz #SNA | e-Xploration | Scoop.it
luiy's insight:

Data

The map uses data from the  Global Database of Events, Language, and Tone (GDELT), which is an initiative aiming to provide a “realtime social sciences earth observatory”, by creating a freely available catalog of events derived from news stories. The database is compiled from stories in media outlets from almost every country in the world. Any story can contain more than one event, and events are automatically parsed out of news stories using a text analysis program called Tabari and encoded using a schema called Cameo.

A large portion of these events (140 million out of 250 million listed events) contains both a location of where the event happened and locations of the two primary actors involved. The Tabari algorithm associates events that it has already picked out of an article with geographic locations mentioned in the same text (by looking at verb usage in surrounding sentences). You can read the introductory paper on GDELT (Leetaru and Schrodt, 2013) for more on the specific geocoding methods employed.

 

We exclude all events where the two actors are geo-coded as being located in the same place (about 91 million events, or 36 percent of the full dataset), and location pairs referred to by fewer than 10 events (about 7 million events). This left us with about 43 million events (17 percent) and 216,000 connections between location pairs to visualize in the map.

 

The first map illustrates all the connections between pairs of locations. The brightness of each line reflects the number of events connecting the two places. The second graphic focus on international events, grouping the connections by country. Colour is used to map the world’s regions and the connections between them, with colour assigned to the ‘edges’ (i.e., connections) based on the colours of the two connected nodes. The thickness of the lines represents the number of events.

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Collaborative Analytics: #Analytics for your #BigData via @YvesMulkers

Collaborative Analytics: #Analytics for your #BigData via @YvesMulkers | e-Xploration | Scoop.it
So what is collaborative analytics™ and why should one care about it? If you read my blog on “Rethinking Big Analytics to handle BigData”, you kind-of get the gist on the need for some better analy...
luiy's insight:

Our ways to analyze the data is still old school. They are either human or machine dependent and are very isolative with collaborations only possible via manual ways. We all know that there is always someone around you who knows more that you do and could help you get to the next step. The problem is that manual ways are not efficient in helping find those people. So, what should one do?- Invent ways to make analytics discoverable, to make best practices flow and that too with minimal impact to business. A good start will be to start digging for areas that will make our analytics strategy robust and scalable with evolving technological landscape and changing customer dynamics. And if possible, keeping the strategy least invasive and in line with current business practice. No, getting whole minority report on your current business will take forever, and is not very cost effective, you need something sustainable, something that could be implemented in small scale and easy to replicate. That would make collaborative analytics possible.

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An Introduction to Mapping Company Networks Using #Gephi and OpenCorporates | #datajournalism

An Introduction to Mapping Company Networks Using #Gephi and OpenCorporates | #datajournalism | e-Xploration | Scoop.it
Evidence is Power
luiy's insight:

As more and more information about beneficial company ownership is made public under open license terms, we are likely to see an increase in the investigative use of this sort of data.

But how do we even start to work with such data? One way is to try to start making sense of it by visualising the networks that reveal themselves as we start to learn that company A has subsidiaries B and C, and major shareholdings in companies D, E and F, and that those companies in turn have ownership relationships with other companies or each other.

 

But how can we go about visualising such networks?!

This walkthrough shows one way, using company network data downloaded from OpenCorporates using OpenRefine, and then visualised using Gephi, a cross-platform desktop application for visualising large network data sets: Mapping Corporate Networks – Intro (slide deck version).

 

- See more at: http://schoolofdata.org/2013/11/15/an-introduction-to-mapping-company-networks-using-gephi-and-opencorporates-via-openrefine/#sthash.oX0ru7cD.dpuf

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