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Stop Hyping Big Data and Start Paying Attention to 'Long Data' | Wired Opinion | Wired.com

Stop Hyping Big Data and Start Paying Attention to 'Long Data' | Wired Opinion | Wired.com | e-Xploration | Scoop.it
Our species can’t seem to escape big data. We have more data inputs, storage, and computing resources than ever, so Homo sapiens naturally does what it has always done when given new tools: it goes even bigger, higher, and bolder.

Via Pierre Levy
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e-Xploration
antropologo.net, dataviz, collective intelligence, algorithms, social learning, social change, digital humanities
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Oycib ::: Collective Intelligence. "Kaan". Network Visualisation.

Oycib ::: Collective Intelligence. "Kaan". Network Visualisation. | e-Xploration | Scoop.it
luiy's insight:

Beginning with the origins, Oycib means in Mayan language "the place of honey". In this projet, Oycib is an e-Research infrastructure for the Collective Intelligence Analysis.

 

With Oycib infrastructure we propose an analysis model, based in the digital practices and collaboration profiles for the development of Social Learning and the Context Awareness in the Collective Intelligence process.

 

The infrastructure design and the profiles proposed here, are based on historical studies about social organization glyphs in Mayan culture made by Montgomery (2002) and Calvin (2012).

 

Initially we worked with four collaboration profiles: the "Itzaat", the "Pitziil", the "Ayuxul" and the "Sajal" (profiles), but we can find others depending of the organization context. Thus, it's important to mention that each profile is found based on the e-Xploración model and they are the qualitative and quantitative interpretation of the collaborative practices. In this way, we propose methods based on Social Network Analysis for the learning and knowledge management.

 

Thus, the network in Oycib is called "Kaan" (sky or network in Mayan Lenguage). In the "Kaan" we present the visualization of the subjects and objects, such as persons, forums, blogs, files, groups and all the interactions among them. Additionally, each profile and their interactions is presented.

 

... you can interact with "Kaan" here.

 

http://viz.oycib.org/net_all_3/network/index.html

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Overview of #Python Visualization Tools | #dataviz #datascience

Overview of #Python Visualization Tools | #dataviz #datascience | e-Xploration | Scoop.it
Overview of common python visualization tools
luiy's insight:

Introduction

 

In the python world, there are multiple options for visualizing your data. Because of this variety, it can be really challenging to figure out which one to use when. This article contains a sample of some of the more popular ones and illustrates how to use them to create a simple bar chart. I will create examples of plotting data with:

 

- Pandas

- Seaborn

- ggplot

- Bokeh

- pygal

- Plotly

 

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Les facteurs de réussite d’un réseau social d’entreprise | #CI #analytics #RSE

Les facteurs de réussite d’un réseau social d’entreprise | #CI #analytics #RSE | e-Xploration | Scoop.it
Les performances des réseaux internes d'une vingtaine d'entreprise ont été comparées par le cabinet de conseil Lecko pour déterminer ce qui les mène au succès... ou pas.

Via Eric Laurent
luiy's insight:

Beaucoup de sociétés ont des réseaux sociaux d’entreprise (RSE), mais toutes ne rencontrent pas le même succès avec ces projets. Pour tenter de déterminer les facteurs de réussite de ces espaces collaboratifs, le cabinet de conseil Lecko a réalisé un benchmark pour la deuxième année consécutive. Une vingtaine de grandes entreprises ont été comparées via l’outil Lecko RSE Analytics qui renvoie des métriques sur l’activité sociale enregistrée sur les plateformes (création d’un profil, ajout d’un commentaire ou « like »). Pour compléter le tout, plus de 90 community manager ont été interrogés pour comparer leurs pratiques. L’importance des community manager ne se dément pas. 71 % des espaces performants sont nés de l’initiative d’un community manager (voir le tome 7 de l'étude sur l'Etat de l'art des réseaux sociaux d'entreprise de Lecko)

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OpenGraphiti : Data Visualization Framework | #SNA #open #dataviz

OpenGraphiti : Data Visualization Framework | #SNA #open #dataviz | e-Xploration | Scoop.it
luiy's insight:
Description

OpenGraphiti is a free and open source 3D data visualization engine for data scientists to visualize semantic networks and to work with them. It offers an easy-to-use API with several associated libraries to create custom-made datasets. It leverages the power of GPUs to process and explore the data and sits on a homemade 3D engine.

 

YOUTUBE: https://www.youtube.com/watch?v=TE9qsYBu8MM

 

 

 

 

 

 

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The Emerging Science of Human-Data Interaction | #bigdata #HDI

The Emerging Science of Human-Data Interaction | #bigdata #HDI | e-Xploration | Scoop.it
The rapidly evolving ecosystems associated with personal data is creating an entirely new field of scientific study, say computer scientists. And this requires a much more powerful ethics-based infrastructure.
luiy's insight:

... Richard Mortier at the University of Nottingham in the UK and a few pals say the increasingly complex, invasive and opaque use of data should be a call to arms to change the way we study data, interact with it and control its use. Today, they publish a manifesto describing how a new science of human-data interaction is emerging from this “data ecosystem” and say that it combines disciplines such as computer science, statistics, sociology, psychology and behavioural economics.

 

They start by pointing out that the long-standing discipline of human-computer interaction research has always focused on computers as devices to be interacted with. But our interaction with the cyber world has become more sophisticated as computing power has become ubiquitous, a phenomenon driven by the Internet but also through mobile devices such as smartphones. Consequently, humans are constantly producing and revealing data in all kinds of different ways.

 

Mortier and co say there is an important distinction between data that is consciously created and released such as a Facebook profile; observed data such as online shopping behaviour; and inferred data that is created by other organisations about us, such as preferences based on friends’ preferences.


Original Article : http://arxiv.org/abs/1412.6159

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What Is “ #OpenAccess ”? | #OpenScience

What Is “ #OpenAccess ”? | #OpenScience | e-Xploration | Scoop.it
Imagine the progress that can happen—in health, science, education—when scholarly research is made freely available among scientists, patients, inventors, and others.
luiy's insight:

Before the open access model existed, almost all peer-reviewed articles based on scholarly research were published in corporate-owned print journals, whose subscription fees were often prohibitively expensive—despite the fact that authors are not paid for their articles. Publishers rarely invest in the actual research and typically provide little added value in the articles’ preparation and distribution.

 

These journals were available to the general public only at university libraries in wealthy countries. This meant that doctors treating patients with HIV and AIDS in remote regions of Africa, for instance, could not access complete articles describing the results of the latest medical research on treatments, even when the research upon which these articles were based was undertaken in their remote regions.

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Ethnography for the Internet | #Anthropology #CyberEthnography

Ethnography for the Internet | #Anthropology #CyberEthnography | e-Xploration | Scoop.it

The internet has become embedded into our daily lives, no longer an esoteric phenomenon, but instead an unremarkable way of carrying out our interactions with one another. Online and offline are interwoven in everyday experience. Using the internet has become accepted as a way of being present in the world, rather than a means of accessing some discrete virtual domain. Ethnographers of these contemporary Internet-infused societies consequently find themselves facing serious methodological dilemmas: where should they go, what should they do there and how can they acquire robust knowledge about what people do in, through and with the internet?

This book presents an overview of the challenges faced by ethnographers who wish to understand activities that involve the internet. Suitable for both new and experienced ethnographers, it explores both methodological principles and practical strategies for coming to terms with the definition of field sites, the connections between online and offline and the changing nature of embodied experience. Examples are drawn from a wide range of settings, including ethnographies of scientific institutions, television, social media and locally based gift-giving networks. - See more at: http://www.bloomsbury.com/uk/ethnography-for-the-internet-9780857855701/#sthash.q1UHC7O1.dpuf

luiy's insight:

1 Introduction
2 The E3 Internet: The Embedded, Embodied, Everyday Internet
3 Ethnographic Strategies for the Embedded, Embodied, Everyday Internet
4 Observing and Experiencing Online/Offline Connections
5 Connective Ethnography in Complex Institutional Landscapes
6 The Internet in Ethnographies of the Everyday
7 Conclusion
References


Index - See more at: http://www.bloomsbury.com/uk/ethnography-for-the-internet-9780857855701/#sthash.q1UHC7O1.dpuf

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#Fractals in D3: Dragon Curves | #dataviz

#Fractals in D3: Dragon Curves | #dataviz | e-Xploration | Scoop.it
luiy's insight:

In this post we're looking at examples of generating some really cool fractals called dragon curves (also referred to as Heighway dragons).  This post is a continuation of the previous one on fractal ferns.  Take a look at that post if you want some basic info on fractals and some links I found useful.  Fractals are a world unto themselves, so there are plenty of interesting things to be investigated in this area.  We are just scratching the surface with these two posts.

 
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Ayotzinapa and Tlatlaya: Geopolitics, occupation of the country and State #Terrorism | #NarcoGovernment #Mexico

Ayotzinapa and Tlatlaya: Geopolitics, occupation of the country and State #Terrorism | #NarcoGovernment #Mexico | e-Xploration | Scoop.it
luiy's insight:

El 30 de junio de 2014, en Tlatlaya, Estado de México el Ejército Mexicano ejecutó a 22 personas. Algunas de ellas presentaban un “tiro de gracia”. Después de la masacre, los militares montaron una escena de un falso enfrentamiento, sembrando armas en los cuerpos abatidos. A pocos kilómetros de Tlatlaya, en Iguala, Guerrero, la noche del 26 y la madrugada del 27 de septiembre, policías municipales ejecutaron un operativo en contra de un grupo de estudiantes de la Normal Rural “Isidro Burgos” de Ayotzinapa, Guerrero. En el operativo asesinaron a tres de normalista, uno de los cuales fue cruelmente desollado. Asesinaron también a otras tres personas (no estudiantes) e hirieron a más de 20, una de las cuales sufrió muerte cerebral. Las fuerzas policiacas detuvieron y secuestraron a 43 estudiantes, quienes, a más de dos meses de los hechos, siguen sin ser presentados.

 

En Ayotzinapa y Tlatlaya se sintetiza la violencia sistemática del Estado hacia la población, la impunidad generalizada y el acumulado de agravios a los derechos de los pueblos. Pero de un modo más profundo ambos casos representan la dimensión de la ocupación neo-colonial de México y los rasgos más crudos de la dictadura cívico-militar y su estado de excepción permanente como único modo para sostenerse.

 
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Linkedin inMaps discontinued : how to visualize your professional network now? | #SNA via @Linkurious

Linkedin inMaps discontinued : how to visualize your professional network now? | #SNA via @Linkurious | e-Xploration | Scoop.it
How to replace Linkedin inMaps and visualize your professional network with Gephi.
luiy's insight:

One of the cool not-so-known feature of Linkedin was the ability to visualize your professional network. This was provided via inMaps and allowed everyone to get a feel of the communities and influencers in his own network. On August 31 this service will be discontinued but you can still visualize your Linkedin network.

 

 

Collect your data

 

First step first. We need to collect the information about our connections and their relationships. The good news is that Linkedin has a nice API anyone can use. The bad news is that this API only allows us to see our connections and the connections between them. Just like with inMaps, we will not be able to see the individuals we are not connected to.

 

We are going to need to register a new application with Linkedin to be able to use its API. Simply go here and sign in with your account (you do have an account, right?).

 

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Visualizing The Explosive Growth Of The #Robotics Industry | #SNA #dataviz

Visualizing The Explosive Growth Of The #Robotics Industry | #SNA #dataviz | e-Xploration | Scoop.it
Meet the overlords of your new overlords.
luiy's insight:

Over the past several years, a new wave of robot technology has offered us a glimpse at our heavily automated future, featuring drones, telepresence bots, therapeutic robots, and surgery bots that assist (or maybe take over for) doctors. The robotics industry has actually been around for a long time, with numerous companies working on warehouse automation, industrial robotics, and the like since the middle of the last century.

 

But as this interactive visualization from the Boston Consulting Group (BCG) and Quid reveals, the industry is expanding at near-warp speed.

 

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Text Visualization Browser | #dataviz #sna #datascience

Text Visualization Browser | #dataviz #sna #datascience | e-Xploration | Scoop.it
Text Visualization Browser
luiy's insight:
Text Visualization BrowserDeveloped by Kostiantyn Kucher and Andreas KerrenISOVIS group, Linnaeus University, Växjö, SwedenCheck out our IEEE VIS 2014 poster abstract
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DareDo's curator insight, October 30, 2014 6:07 AM

De multiples manières de visualiser des textes...

Sans doute devrions-nous réfléchir à des manières simples d'organiser nos propres textes et nos ressources.

A creuser certainement...

Stephen Dale's curator insight, November 7, 2014 11:23 AM

A Visual Survey of Text Visualization Techniques. Excellent resource.

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#Violence and guns in best-selling #videogames | #dataviz #opendata

#Violence and guns in best-selling #videogames | #dataviz #opendata | e-Xploration | Scoop.it
Research into connections between gun violence and video games to violence in real life has been inconclusive. As the hype for the latest in the Grand Theft Auto series builds up, a Guardian analysis of the top 50 video games sold in 2012 found more than half contain violent content labels, as assigned by an independent video game rating board (ESRB). Overall, one-third have weapons that depict real-life firearms
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@WeAreTheDead : When #Twitter meets #Python! | #datascience

@WeAreTheDead : When #Twitter meets #Python! | #datascience | e-Xploration | Scoop.it

Reporters love Twitter and geeks love coding. Today, I’m merging the best of both worlds! On the menu: Python scripts to use Twitter to its full potential!

luiy's insight:

When my friend @TerraCiolfe showed me @WeAreTheDeads project, I said to myself that I really need to learn how to control Twitter through Python. @WeAreTheDeads is a Twitter account publishing the name of a fallen soldiers at the 11th minute of each hour.

 

Of course, nobody is working behind the screen. A program chooses the soldier in a database and publishes his name, hour after hour. With 119,000 names to publish, the script will run until 2023, according to the author of this great idea, the reporter @GlenMcGregor from the Ottawa Citizen.

 

With a little bit of research (my sources are at the end of the article), I learnt how to work with Twitter from a Python script. Actually, we can do way more than automatically publish tweets! It’s also possible to extract a lot of data about users and their tweets. For example, you can research specific tweets in a specific location. I created a nice animated map at the end. You’ll see!

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TULIP : Data Visualization Software | #SNA #dataviz

TULIP : Data Visualization Software | #SNA #dataviz | e-Xploration | Scoop.it
Tulip is a software system dedicated to the visualization of huge graphs. It enables, 3D visualizations, 3D modifications, plugin support, support for clusters and navigation, and automatic graph drawing.
luiy's insight:

Tulip is an information visualization framework dedicated to the analysis and visualization of relational data. Tulip aims to provide the developer with a complete library, supporting the design of interactive information visualization applications for relational data that can be tailored to the problems he or she is addressing. 

 

Written in C++ the framework enables the development of algorithms, visual encodings, interaction techniques, data models, and domain-specific visualizations. One of the goal of Tulip is to facilitates the reuse of components and allows the developers to focus on programming their application. This development pipeline makes the framework efficient for research prototyping as well as the development of end-user applications.

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Davos on Twitter: who do the attendees follow? | #dataviz #SNA

Davos on Twitter: who do the attendees follow? | #dataviz #SNA | e-Xploration | Scoop.it

Via ukituki
luiy's insight:

Every year, the World Economic Forum brings together the most recognisable figures of business and politics. With all eyes on Davos, we decided to turn the optics upside down and see who the twitterati gathered in Switzerland follow on social media.


The inner ring of circles represent the 20 most-followed accounts by Davos attendees, while the outer circles are individual attendees.

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ukituki's curator insight, January 22, 10:39 AM

Network Visualization by Finanacial Times

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After Ayotzinapa's Disappeared, Locals Are Taking Power In Tecoanapa | #democracy #socialchange

After Ayotzinapa's Disappeared, Locals Are Taking Power In Tecoanapa | #democracy #socialchange | e-Xploration | Scoop.it
luiy's insight:

On Sept. 26, 2014, municipal police attacked a group of students from Ayotzinapa school in Mexico’s Guerrero state. Of the 43 disappeared students, eight came from Tecoanapa. Now their fellow citizens have shut down the local government buildings and set up a people’s council. It’s a movement that is gathering momentum across Guerrero.

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#BigData, new epistemologies and paradigm shifts | #socialscience #DH

#BigData, new epistemologies and paradigm shifts | #socialscience #DH | e-Xploration | Scoop.it
luiy's insight:

Whilst Jim Gray envisages the fourth paradigm of science to be data-intensive and a radically new extension of the established scientific method, others suggest that Big Data ushers in a new era of empiricism, wherein the volume of data, accompanied by techniques that can reveal their inherent truth, enables data to speak for themselves free of theory. The empiricist view has gained credence outside of the academy, especially within business circles, but its ideas have also taken root in the new field of data science and other sciences. In contrast, a new mode of data-driven science is emerging within traditional disciplines in the academy. In this section, the epistemological claims of both approaches are critically examined, mindful of the different drivers and aspirations of business and the academy, with the former preoccupied with employing data analytics to identify new products, markets and opportunities rather than advance knowledge per se, and the latter focused on how best to make sense of the world and to determine explanations as to phenomena and processes.

 

http://bds.sagepub.com/content/1/1/2053951714528481.full

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How Diversity Makes Us Smarter | #IntelligenceCollective

How Diversity Makes Us Smarter | #IntelligenceCollective | e-Xploration | Scoop.it
luiy's insight:

Information and Innovation


The key to understanding the positive influence of diversity is the concept of informational diversity. When people are brought together to solve problems in groups, they bring different information, opinions and perspectives. This makes obvious sense when we talk about diversity of disciplinary backgrounds—think again of the interdisciplinary team building a car. The same logic applies to social diversity. People who are different from one another in race, gender and other dimensions bring unique information and experiences to bear on the task at hand. A male and a female engineer might have perspectives as different from one another as an engineer and a physicist—and that is a good thing.

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Your Digital Image: Factors Behind #Demographic and #Psychometric #Predictions from Social Network Profiles | #identity

Your Digital Image: Factors Behind #Demographic and #Psychometric #Predictions from Social Network Profiles |  #identity | e-Xploration | Scoop.it
luiy's insight:

Our system allows users to examine the factors influencing the predictions, so users can determine how “Liking” a certain item changes the predictions regarding their intel ligence, or how changing the number of friends they have affects the predictions regarding their personality. Clearly, these factors are under the control of the user, and users may modify their behavior on Facebook to be perceived in a positive manner. As people can form judgments on others based on their social media profiles [4], this phenomenon is not new. However, we believe an automated tool can allow people to easily determine how others may perceive thembased on their behavior on social networks.

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The Graphic Continuum | #dataviz

The Graphic Continuum | #dataviz | e-Xploration | Scoop.it
[This is a guest post by Jon Schwabish* and Severino Ribecca**, about the informational poster The Graphic Continuum]
 
 
How many different graph types exist? How do they relate to one another?

Via ABoudières
luiy's insight:

How many different graph types exist? How do they relate to one another? Can you use the same graphic type for different types of data? These are the questions that we tried to tackle in our recent project, The Graphic Continuum.

 

Documenting the many chart types is something we were both working on independently for the past couple of years. Severino was building his Data Visualisation Catalogue, an online reference tool of data visualizations. At the same time, I was teaching data visualization to different audiences and was thinking about how to best show my students different graphic types and how they relate to one another.

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A Behind-the-Scenes Look at How #Infographics Are Made | #dataviz

A Behind-the-Scenes Look at How #Infographics Are Made | #dataviz | e-Xploration | Scoop.it
It’s been said that we’re living in the golden age of data visualization. And why shouldn’t we be? Every move we make is potential fodder for a bar chart or line graph. Regardless of how you feel about our constant quantification, its been a boon for designers who have made some exceptional infographics—and some not…
luiy's insight:

A new book from graphic guru and School of Visual Arts professor Steven Heller and designer Rick Landers looks at that the process of more than 200 designers, from first sketch to final product. The Infographic Designers Sketchbook is almost exactly what it sounds like. The 350-page tome is essentially a deep dive into the minds of data designers. Heller and Landers have chosen more than 50 designers and asked them to fork over their earliest sketches to give us insights into how they turn a complex set of data into coherent, visually stunning data visualizations. “You see a lot more unbridled, unfettered work when you’re looking at a sketchbook,” says Heller. “You might be looking at a lot of junk, but even that junk tells you something about the artist who is doing it.”

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Disappearances in Mexico: 26, 567 + 43 stories. Mapa #PorTodosLosDesaparecidos #TodosSomosAyotzinapa

Disappearances in Mexico: 26, 567 + 43 stories. Mapa #PorTodosLosDesaparecidos #TodosSomosAyotzinapa | e-Xploration | Scoop.it

Click here to edit the title

luiy's insight:

Mexico is living a hidden war for over eight years ago that has killed over 120,000 people and which have disappeared over 27,000 as a result of violence, many of them innocent.

 

México vive una guerra oculta desde hace 8 años donde han muerto 120 mil personas y han desaparecido más de 27 mil. La mayoría de ellas inocentes

 

However, the Mexican government has hidden these numbers to deny that there is a war and prevent the world know what is happening here: http://www.eluniversal.com.mx/nacion-mexico/2014/osorio-desaparecidos-2014-1012354.html

 

Sin embargo el gobierno mexicano ha ocultado esta cifras para negar que existe esta guerra y así evitar que el mundo se entere, llegando incluso a decir que son solo 8 mil las desapariciones

http://www.eluniversal.com.mx/nacion-mexico/2014/osorio-desaparecidos-2014-1012354.html


Help us to make visible the war that is happening in Mexico - Ayúdanos a hacer visible la guerra que ocurre en Mexico 

 

https://www.indiegogo.com/projects/hagamos-visible-la-guerra-en-mexico-para-detenerla

 

OPENDATA Disappeared people:

https://www.dropbox.com/s/i2upkhuci9wssps/tdes%20por%20edo.csv




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Human data shows how we move in Amsterdam | #dataviz #sensors

Human data shows how we move in Amsterdam | #dataviz #sensors | e-Xploration | Scoop.it
luiy's insight:

Human helps people in Amsterdam move almost twice as much in six weeks. Every day, people track millions of activities with our app. We visualized data in Amsterdam and other major cities across the globe to get an insight into Human activity.

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The state of our union is … dumber: how linguistic standards have declined in the president's address | #ddj

The state of our union is … dumber: how linguistic standards have declined in the president's address | #ddj | e-Xploration | Scoop.it
Using the Flesch-Kincaid readability test the Guardian has tracked the reading level of every State of the Union
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Report: #Bot traffic is up to 61.5% of all website traffic | #scrapers #agents

Report: #Bot traffic is up to 61.5% of all website traffic | #scrapers #agents | e-Xploration | Scoop.it

Bot traffic is up to 61.5% of all website traffic. Who's up, who's down and is Google really winning its war on spam?

luiy's insight:

Research Methodology

 

For the purpose of this report we observed 1.45 Billion visits, which occurred over a 90 day period. The data was collected from a group of 20,000 sites on Incapsula’s network, which consists of clients from all available plans (Free to Enterprise). Geographically, the traffic covers all of the world’s 249 countries, per country codes provided by an ISO 3166-1standard.

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