e-Xploration
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antropologiaNet, dataviz, collective intelligence, algorithms, social learning, social change, digital humanities
Curated by luiy
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Réalité Augmentée : Histoire, usages et perspectives

Une infographie sur la Réalité Augmentée découverte grâce à un tweet de Jean-François Ktichiguine son inspirateur et fondateur du forum ARMTL qui rassemble experts et passionnés de la Réalité Augmentée de tout profil : développeurs, Designer Graphique, marketeurs, entrepreneurs, ...


Via Aurélien Fache
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Analyzing a large user community using the social network analysis framework | Mitacs – Inspiring innovation in Canada

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Deux visualisations présentées au Showroom de Cap’Com - Des traces et des liens - Christophe Cariou - EverydataLab

Deux visualisations présentées au Showroom de Cap’Com - Des traces et des liens - Christophe Cariou - EverydataLab | e-Xploration | Scoop.it
Aujourd'hui, sur l'invitation de Hugues Aubin (merci), nous étions au Showroom de Cap'Com à l'Hôtel de Rennes Métropole pour présenter deux de nos projets récents aux professionnels de la communication des territoires français.
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Colloquium d'informatique UPMC : Stuart Russell

Colloquium d'informatique UPMC : Stuart Russell | e-Xploration | Scoop.it
UPMC Colloquium - Stuart Russell
Unifying logic and probability: A “New Dawn” for Artificial Intelligence? http://t.co/CRt1bzI5
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Big Data to Overtake Hadoop in 2013

Big Data to Overtake Hadoop in 2013 | e-Xploration | Scoop.it
The Big Data catch phrase is set to overtake Hadoop in 2013 for Google searches. (Big Data to Overtake Hadoop in 2013 http://t.co/MiFlu72n)
luiy's insight:

By using Google Trends graphing I have taken a look at the popularity of the phrase “Big Data” in web searches and related terms.  Hadoop and its related technology such as MapReduce have helped create this interest in alternative lower cost technology stacks for storing and analysing very large amounts of unstructured or structured data - especially web based data.  Traditional software vendors like IBM and Oracle jumped on the bandwagon under the banner of “Big Data” – that lets them promote the advantages of Hadoop but also defines a more complete enterprise architecture with databases, data streaming and analytics software.

 

Google Trend reports show that “Big Data” is approaching the popularity of “Hadoop” and is already a more popular search term than “Cognos”.  It is most often searched in South Korea and India.   

 

Big Data Search term popularity is shown in this Google Trends Graph covering 2009 to the start of 2013.  It shows Big Data climbing quickly in 2012 and about to overtake Hadoop in 2013.  Big Data started as a marketing phrase to describe technology that handled data in very large volumes and/or with very large complexity. 

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Alexander Knorr's webpage on cyberanthropology

Alexander Knorr's webpage on cyberanthropology | e-Xploration | Scoop.it

Introduction to cyberanthropology...


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Consensus clustering in complex networks

Consensus clustering in complex networks | e-Xploration | Scoop.it

The community structure of complex networks reveals both their organization and hidden relationships among their constituents. Most community detection methods currently available are not deterministic, and their results typically depend on the specific random seeds, initial conditions and tie-break rules adopted for their execution. Consensus clustering is used in data analysis to generate stable results out of a set of partitions delivered by stochastic methods.


Via Complexity Digest, Spaceweaver, David Rodrigues, ukituki, eRelations
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Role of Social Networks in Information Diffusion

Role of Social Networks in Information Diffusion | e-Xploration | Scoop.it

Online social networking technologies enable individuals to simultaneously share information with any number of peers. Quantifying the causal effect of these technologies on the dissemination of information requires not only identification of who influences whom, but also of whether individuals would still propagate information in the absence of social signals about that information. We examine the role of social networks in online information diffusion with a large-scale field experiment that randomizes exposure to signals about friends' information sharing among 253 million subjects in situ. Those who are exposed are significantly more likely to spread information, and do so sooner than those who are not exposed. We further examine the relative role of strong and weak ties in information propagation. We show that, although stronger ties are individually more influential, it is the more abundant weak ties who are responsible for the propagation of novel information. This suggests that weak ties may play a more dominant role in the dissemination of information online than currently believed.


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Not on Facebook? Researchers Can Still Probe the “Shadow Network”

Not on Facebook? Researchers Can Still Probe the “Shadow Network” | e-Xploration | Scoop.it

Using the network structure of four of the university campuses, a machine-learning program picked out attributes that seemed to predict whether two non-members knew each other, such as how many members knew both of them and how many knew one but not the other. 

 


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Identifying the brains behind a terrorist attack or an infectious-disease primary source | KurzweilAI

Identifying the brains behind a terrorist attack or an infectious-disease primary source | KurzweilAI | e-Xploration | Scoop.it

Could a computer algorithm identify the source of a terrorism attack, like the Gauss virus, or an epidemic?

Pedro Pinto, a researcher at the Swiss Federal Institute of Technology in Lausanne (EPFL), says his team has developed such an algorithm.


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Edge Prediction in a Social Graph: My Solution to Facebook's User Recommendation Contest on Kaggle - Edwin Chen's Blog

Edge Prediction in a Social Graph: My Solution to Facebook's User Recommendation Contest on Kaggle - Edwin Chen's Blog | e-Xploration | Scoop.it

A couple weeks ago, Facebook launched a link prediction contest on Kaggle, with the goal of recommending missing edges in a social graph.


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SNA and Leadership Networks

Social Network Analysis, SNA, Leadership Networks, Leadership Program, Evaluation

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Lamia Ben's curator insight, December 26, 2012 1:06 PM

We are pleased to share our paper, "Social Network Analysis and the Evaluation of Leadership Networks, " which has been published in The Leadership Quarterly  Volume 21, Issue 4, August 2010, Pages 600-619

ukituki's curator insight, January 22, 2013 7:35 AM

Leadership development practitioners have become increasingly interested in
networks as a way to strengthen relationships among leaders in fields,
communities, and organizations. This paper offers a framework for
conceptualizing different types of leadership networks and uses case
examples to identify outcomes typically associated with each type of
network. One challenge for the field of leadership development has been how
to evaluate leadership networks.

Rescooped by luiy from Personal & collective knowledge management
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The Human Algorithm: Redefining the Value of Data - Brian Solis

The Human Algorithm: Redefining the Value of Data - Brian Solis | e-Xploration | Scoop.it

Via Pierre Levy
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Yolande Villemaire's curator insight, January 2, 2013 10:42 PM

SoLoMo: social, local, mobile data and the Human Algorithm.

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Augmented Reality: Past, Present and Future - TNW Industry

Augmented Reality: Past, Present and Future - TNW Industry | e-Xploration | Scoop.it

You may have heard about augmented reality before. If you haven't, you'll be hearing a lot about it from now on, with the smartphone and tablet revolution now in full-swing.

Augmented ...


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W05 : Linked City par EverydataLab - Des traces et des liens - Christophe Cariou - EverydataLab

W05 : Linked City par EverydataLab - Des traces et des liens - Christophe Cariou - EverydataLab | e-Xploration | Scoop.it
Cette semaine EverydataLab a du faire face au froid extrême, alterte de niveau 3, une partie de l’équipe n’y a pas résisté ! Le cours Economie des Médias du lundi a été consacré à discuter quelques concepts économiques.
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Using Big Data To Solve Social Discovery's Relevance Problem

Using Big Data To Solve Social Discovery's Relevance Problem | e-Xploration | Scoop.it
Compared to traditional social networks, social-discovery products face a unique challenge in needing to do more than simply connect folks who are already friends.

Via Pierre Levy
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Pierre Levy's curator insight, January 9, 2013 4:53 PM

Social discovery and collaborative filtering

EmilieSoleil's comment, January 17, 2013 9:52 AM
Interesting article. Does this type of social network encourage homogeneity more than other types of social network? Does this lead to the formation of exclusive networks?
Pierre Levy's comment, January 17, 2013 1:40 PM
@EmilieSoleil I don't think that it encourages homogeneity. Just the opposite: it helps people to find like-minded people instead of forcing them into prededined moulds
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Emerging new roles for learning and performance professionals « Learning in the Social Workplace

Emerging new roles for learning and performance professionals « Learning in the Social Workplace | e-Xploration | Scoop.it

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Concept map: sociotechnical system in an anthropology of technology – Philbu's Blog

Concept map: sociotechnical system in an anthropology of technology – Philbu's Blog | e-Xploration | Scoop.it
This concept map builds on Bryan Pfaffenberger's article...

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Valdis Krebs: Connect on your similarities and benefit from your differencies.

Valdis Krebs: Connect on your similarities and benefit from your differencies.


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Manuel Lima on the Power of Knowledge Networks in the Age of Infinite Connectivity

Manuel Lima on the Power of Knowledge Networks in the Age of Infinite Connectivity | e-Xploration | Scoop.it

Networks are really becoming a cultural meme in their own right. We could even argue, is this the birth of a new movement, is this the birth of ‘networkism’?


Via Lamia Ben
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7StringJazz's curator insight, July 4, 2013 8:59 AM

Manual Lima is one of the believers, Central to the notion of Networkism is visualisation.  Check out his work.

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Why You Should Care About Network Structure « Innovation Leadership Network

Why You Should Care About Network Structure « Innovation Leadership Network | e-Xploration | Scoop.it
When carbon atoms connect, they most commonly form molecules built on rings of six atoms. The things that are built out of these six atom rings of carbon are… (Structure makes diamonds or graphite!

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Top 12 Media Lab Social Technologies | MIT Center for Civic Media

Top 12 Media Lab Social Technologies | MIT Center for Civic Media | e-Xploration | Scoop.it

Here are 12 of the projects which I have found most inspiring, including one or two from other universities.

 


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Visualizing communities

Visualizing communities | e-Xploration | Scoop.it

I’m going to go through the major types of community visualizations that I’ve seen, and then talk about what I’d like to do with them. Like most powerful technologies, large scale visualization is a capability that can also be used to oppress and to sell. But I imagine social ends, worthwhile ways of using visualization to understand the “public” not as we imagine it, but as something closer to how we really exist.


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T N T — The Network Thinkers: Community Networks

T N T — The Network Thinkers: Community Networks | e-Xploration | Scoop.it
Community #Networks: knowing the net helps us knit the net http://t.co/vY74k3T8 #sna...

Via Lamia Ben
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How Twitter Gets In The Way Of Knowledge

How Twitter Gets In The Way Of Knowledge | e-Xploration | Scoop.it
Twitter has increasingly restricted access to the largest organized database of modern language in the world, despite its immense research value. It's a tragedy.

Via Pierre Levy
luiy's insight:

TREC's tools for downloading tweets also have to allow for Twitter's strict rate-limiting. TREC attendees trying to download their dataset of 16 million tweets are subject to a maximum of 180 API calls every 15 minutes. Under those limits, it would take more than two weeks to get all 16 million tweets. Researchers trying to gather their own datasets would use Twitter's streaming APIs, which returns a real-time feed of tweets posted to Twitter, but the publicly-available API for that is limited to only a small fraction of total tweets to the service, around 1 percent. There is an API that allows all tweets to the service to be collected, the "firehose," but Twitter strongly limits access to it and charges a fee that is well outside the budget of most academic research.Gnip, Twitter's resellers for firehose access, charges $0.10 per thousand tweets. It would cost TREC, whose participants have no funding at all, $16,000 to get their 16 million tweets that way.

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Pierre Levy's curator insight, January 7, 2013 12:44 PM

Twitter as a research database

Patrizia Bertini's curator insight, January 8, 2013 3:31 AM

With millions of tweets transmitted every day, Twitter has become an important historical and cultural record and an immensely useful resource for researchers of politics, history, literature, language, and anything else you can imagine.