e-Xploration
Follow
Find
19.8K views | +5 today
e-Xploration
antropologo.net, dataviz, collective intelligence, algorithms, social learning, social change, digital humanities
Curated by luiy
Your new post is loading...
Your new post is loading...
Rescooped by luiy from Social Network Analysis #sna
Scoop.it!

Fake identities : Are You Following a Bot?

Fake identities : Are You Following a Bot? | e-Xploration | Scoop.it
How to manipulate social movements by hacking Twitter

Via ukituki
luiy's insight:

JamesMTitus was manufactured by cyber-security specialists in New Zealand participating in a two-week social-engineering experiment organized by the Web Ecology Project. Based in Boston, the group had conducted demographic analyses of Chatroulette and studies of Twitter networks during the recent Middle East protests. It was now interested in a question of particular concern to social-media experts and marketers: Is it possible not only to infiltrate social networks, but also to influence them on a large scale?

 

The group invited three teams to program “social bots”—fake identities—that could mimic human conversation on Twitter, and then picked 500 real users on the social network, the core of whom shared a fondness for cats. The Kiwis armed JamesMTitus with a database of generic responses (“Oh, that’s very interesting, tell me more about that”) and designed it to systematically test parts of the network for what tweets generated the most responses, and then to talk to the most responsive people.

After the first week, the teams were allowed to tweak their bot’s code and to launch secondary identities designed to sabotage their competitors’ bots. One team unleashed @botcops, which alerted users, “You might want to be suspicious about JamesMTitus.” In one exchange, a British user confronted the alleged bot: “What do you say @JamesMTitus?” The robot replied obliquely, “Yeah, so true!” The Brit pressed: “Yeah so true! You mean I should be suspicious of you? Or that @botcops should be challenged?” JamesMTitus evaded detection with a vague tweet back—“Right on bro”—and acquired 109 followers over two weeks. Network graphs subsequently showed that the three teams’ bots had insinuated themselves into the center of the target network.

more...
No comment yet.
Rescooped by luiy from Digital Literacy for my students
Scoop.it!

Wikipediocracy

Wikipediocracy | e-Xploration | Scoop.it
A critical review site examining Wikipedia's flaws and follies

Via Pierre Levy
luiy's insight:
Our Mission:We exist to shine the light of scrutiny into the dark crevices of Wikipedia and its related projects; to examine the corruption there, along with its structural flaws; and to inoculate the unsuspecting public against the torrent of misinformation, defamation, and general nonsense that issues forth from one of the world’s most frequently visited websites, the “encyclopedia that anyone can edit.”
more...
Pierre Levy's curator insight, May 2, 2013 1:56 PM

The dark side of Wikipedia

Rescooped by luiy from Collective intelligence
Scoop.it!

The Reality of Collective Intelligence | Library of Professional Coaching

The Reality of Collective Intelligence | Library of Professional Coaching | e-Xploration | Scoop.it
The force of change is a result of the co-action of members of an organization, community, or team operating with Collective Intelligence.

Via Viktor Markowski
more...
Viktor Markowski's curator insight, May 3, 2013 3:02 AM

Leadership as a critical component to success on a personal, political, or corporate level is discussed, evaluated and trained practically ad nauseam. There is no question on the value of leadership as critical to success. However, success and transformation do not and cannot only occur at the leadership level or on an individual basis. History shows us that change and success are a direct result of how individuals mobilize themselves through their collective intelligence. The point is that leadership alone does not make the difference in exacting change or in delivering winning strategies. The successful outcome of anything is just as likely a result of the collective intelligence and collective experiences of the group of people who come together under the same rallying cry.

Rescooped by luiy from Papers
Scoop.it!

Quantifying Collective Attention from Tweet Stream

Quantifying Collective Attention from Tweet Stream | e-Xploration | Scoop.it

We propose a simple method for detecting and measuring the collective attention evoked by various types of events. This method exploits the fact that tweeting activity exhibits a burst-like increase and an irregular oscillation when a particular real-world event occurs; otherwise, it follows regular circadian rhythms.(...)we demonstrate the effectiveness of this method using a large dataset that contained approximately 490 million Japanese tweets by over 400,000 users, in which we identified 60 cases of collective attentions, including one related to the Tohoku-oki earthquake.

 

 

Sasahara K, Hirata Y, Toyoda M, Kitsuregawa M, Aihara K (2013) Quantifying Collective Attention from Tweet Stream. PLoS ONE 8(4): e61823. http://dx.doi.org/10.1371/journal.pone.0061823


Via Complexity Digest
luiy's insight:

Online social media are increasingly facilitating our social interactions, thereby making available a massive “digital fossil” of human behavior. Discovering and quantifying distinct patterns using these data is important for studying social behavior, although the rapid time-variant nature and large volumes of these data make this task difficult and challenging. In this study, we focused on the emergence of “collective attention” on Twitter, a popular social networking service. We propose a simple method for detecting and measuring the collective attention evoked by various types of events. This method exploits the fact that tweeting activity exhibits a burst-like increase and an irregular oscillation when a particular real-world event occurs; otherwise, it follows regular circadian rhythms. The difference between regular and irregular states in the tweet stream was measured using the Jensen-Shannon divergence, which corresponds to the intensity of collective attention. We then associated irregular incidents with their corresponding events that attracted the attention and elicited responses from large numbers of people, based on the popularity and the enhancement of key terms in posted messages or “tweets.” Next, we demonstrate the effectiveness of this method using a large dataset that contained approximately 490 million Japanese tweets by over 400,000 users, in which we identified 60 cases of collective attentions, including one related to the Tohoku-oki earthquake. “Retweet” networks were also investigated to understand collective attention in terms of social interactions. This simple method provides a retrospective summary of collective attention, thereby contributing to the fundamental understanding of social behavior in the digital era.

more...
Gary Bamford's curator insight, May 3, 2013 1:47 AM

The science of Twitter :O

Scooped by luiy
Scoop.it!

Visual analysis : Weighted Graph Comparison Technique for Brain Connectivity Analysis

luiy's insight:

ABSTRACT


The analysis of brain connectivity is a vast field in neuroscience with a frequent use of visual representations and an
increasing need for visual analysis tools. Based on an in-depth
literature review and interviews with neuroscientists, we explore high-level brain connectivity analysis tasks that need to
be supported by dedicated visual analysis tools. A significant
example of such a task is the comparison of different connectivity data in the form of weighted graphs. Several approaches
have been suggested for graph comparison within information
visualization, but the comparison of weighted graphs has not
been addressed. We explored the design space of applicable visual representations and present augmented adjacency matrix
and node-link visualizations. To assess which representation
best support weighted graph comparison tasks, we performed
a controlled experiment. Our findings suggest that matrices
support these tasks well, outperforming node-link diagrams.
These results have significant implications for the design of
brain connectivity analysis tools that require weighted graph
comparisons. They can also inform the design of visual analysis tools in other domains, e.g. comparison of weighted social
networks or biological pathways.

more...
No comment yet.
Scooped by luiy
Scoop.it!

OPINION MINING ET ‎SENTIMENT ANALYSIS

OPINION MINING ET ‎SENTIMENT ANALYSIS | e-Xploration | Scoop.it
luiy's insight:
Méthodes et outilsDominique Boullier et Audrey LohardSciences Po │ médialab…

L’ « opinion mining » est en passe de devenir une véritable industrie, tout aussi stratégique que celle des sondages. Les promesses avancées sont impressionnantes : la puissance de calcul des outils informatiques permettrait de suivre toutes les évolutions de l’opinion sur le web en temps réel, quel qu’en soit le volume. Plus encore, les capacités de traitement linguistique permettraient de détecter les tonalités de tous les verbatims recueillis, grâce aux méthodes dites de « sentiment ana...


 Lire la suiteNote de l’éditeur

Cet ouvrage est accompagné d'un carnet de recherche publié sur la plateforme Hypothèses.  La veille scientifique et méthodologique continue sur ce carnet, les débats autour de ces méthodes peuvent s'y dérouler pour aider les chercheurs à s'orienter dans un domaine très nouveau et mouvant.

 

Avant-proposIntroductionChapitre 1. Historique et état du marchéChapitre 2. Les controverses autour du sentiment analysisChapitre 3. Le sourcingChapitre 4. Constituer et traiter le corpus de travail, avant l’analyse de tonalitéChapitre 5. Détecter les tonalités : opinion mining et sentiment analysisChapitre 6. Sentiment analysis et SHSBibliographieOpinion mining et Sentiment analysis : résumé
more...
No comment yet.
Scooped by luiy
Scoop.it!

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

more...
No comment yet.
Scooped by luiy
Scoop.it!

The cybercultures reader

The cybercultures reader | e-Xploration | Scoop.it
The Cybercultures Readerbrings together articles covering the whole spectrum of cyberspace and related new technologies to explore the ways in which these technologies are reshaping cultural forms and practices at the turn of the century.
luiy's insight:
Recopilación de clasicos sobre: #cyberculture, #cyborgs, #cybernetics, #cyberpunks, #cyberbody, #cybersex.... etc
more...
No comment yet.
Rescooped by luiy from Digital Protest
Scoop.it!

El camino del Twitter al parlamento: Alcance de la Web 2.0 en la participación ciudadana y su influencia en el Estado

Los representantes políticos con excesiva autonomía y la falta de deliberación y co-legislación con sus representados provocan las protestas que desean influir ante el Estado. Los mass media tradicionales (televisión, radio, periódicos y cine) y la Web 1.0 (listas de E-mails, Web sites no interactivos) secundaron la distancia entre ambos porque redujeron al electorado a meros receptores. Pero los new media de la Web 2.0 (Blogs, Facebook, Wikis, y, en particular, los Micro-bloggins y Twitter) pretenden superar los antiguos límites. Así, los primeros suponían que tenían democracia y buscaban información, mientras los nuevos obsequian información y exigen la democracia. Aquí se expone como los new media de la Web 2.0 buscan superar los límites de la participación tradicional y disolver, más que rebasar, las fronteras fijas y estáticas del quehacer político ciudadano en Internet.


Via John Postill
more...
No comment yet.
Rescooped by luiy from History 2[+or less 3].0
Scoop.it!

Welcome to 'Geography Education'

Welcome to 'Geography Education' | e-Xploration | Scoop.it

Finding Materials: This site is designed for geography students and teachers to find interesting, current supplemental materials.  To search for place-specific posts, browse this interactive map.  To search for thematic posts, see http://geographyeducation.org/thematic/ (organized by the APHG curriculum).  Also you can search for a keyword by clicking on the filter tab above.

 

Staying Connected: You can receive post updates in the way that best fits how you use social media.

Update Notifications: Twitter, Facebook, Pinterest, Google+.

              Email: Click 'follow' button at top right of this page.

Sites with Content: Wordpress, Scoop.it.


Via Seth Dixon, Ursula Sola de Hinestrosa, Rui Guimarães Lima
luiy's insight:

ArcGIS Explorer Online is a rich client for using, creating and sharing ArcGIS maps online. ArcGIS Explorer Online requires Microsoft Silverlight and includes:

Support for reading and writing ArcGIS maps that can be used with ArcGIS.com, ArcGIS for iOS, Android, Windows Phone 7 and ArcGIS Desktop.Support for marking up your map with features and editing feature services.Support for creating and executing pre-defined and parameterized queries.The ability to include a presentation in your map and share it with others.And much more...
more...
SRINIVAS KASULLA's comment, August 31, 2013 11:19 AM
Awsome liked the map and would like to contribute ....thanks for such a nice article Peters Energy :)
SRINIVAS KASULLA's comment, August 31, 2013 11:19 AM
Awsome liked the map and would like to contribute ....thanks for such a nice article Peters Energy :)
Thomas C. Thompson's curator insight, August 31, 2013 4:51 PM

Love this Geography Education site! Set up two ways: regionally and thematically so you can find lesson ideas easily.

Scooped by luiy
Scoop.it!

Shared Horizons: Data, Biomedicine and the Digital Humanities

Shared Horizons: Data, Biomedicine and the Digital Humanities | e-Xploration | Scoop.it
luiy's insight:
I’m very much looking forward to the symposium being organized at the Maryland Institute for Technology and the Humanities next week, Shared Horizons:Data, Biomedicine and the Digital Humanities.  The involvement of such important sponsors as the NEH, the US Department of Health and Research Councils UK make this a particularly exciting and enticing event. Ever since I participated in a pioneering symposium on Reconnecting the Science and Humanities through Digital Libraries organized by my friend Kevin Kiernan at the University of Kentucky in 1995, it has been clear to me that one major role of the digital humanities is to be at the forefront of building links between the arts, humanities and sciences so as to create new methods and insights across a range of disciplines. The digital humanities is potentially a bridgehead between the sciences and the arts and humanities, and Shared Horizons is one of the most exciting and ambitious attempts yet to realize this vision.  I’m attending the event on behalf of Research Councils UK, but in preparing myself for the symposium, my thoughts inevitably ran towards the history of my own Institution, King’s College London. King’s College includes the celebrated medical schools at Guy’s Hospital (where Keats studied medicine), at St Thomas’s Hospital (founded in 1173 in honour of the recently martyred Becket) and King’s College Hospital itself (where Lister introduced antiseptic surgery), as well as the world famous Institute of Psychiatry. There could hardly be a better place in the world to think about links between the humanities and biological sciences than King’s College London.
more...
No comment yet.
Rescooped by luiy from Data Management Thread
Scoop.it!

Data Science Toolkit

Data Science Toolkit | e-Xploration | Scoop.it

A collection of the best open data sets and open-source tools for data science, wrapped in an easy-to-use REST/JSON API with command line,Python and Javascript interfaces. Available as a self-contained VM or EC2 AMI that you can deploy yourself.

It's essentially a specialized Linux distribution, with a lot of useful data software pre-installed and exposing a simple interface. For full documentation, see http://www.datasciencetoolkit.org/developerdocs.


Via Irina Radchenko
luiy's insight:

Usage 
     Command Line on OS X and Linux 
     Command Line on Windows 
     Python 
     Javascript 
     R Language 
API 
     Geodict 
     Text to Places 
     IP Address to Coordinates 
     Street Address to Coordinates 
     Google-style geocoder 
     Coordinates to Politics 
     File to Text 
     Text to Sentences 
     HTML to Text 
     HTML to Story 
     Text to People 
     Text to Times 
Setting up your own server 
     Amazon EC2 
     Vagrant

more...
No comment yet.
Scooped by luiy
Scoop.it!

Learning Network Analysis and Representation with a Pedagogical Toy

Learning Network Analysis and Representation with a Pedagogical Toy | e-Xploration | Scoop.it
luiy's insight:

In the coming weeks, I’ll be teaching several workshops on humanities network analysis and representation using Gephi:

Here at Stanford for Hist 10W: Visualizing EvidenceAt UC Berkeley for the D-LabAt the University of Kansas along with a talk on networks in the humanities

These are invariably billed as “Gephi Workshops” but really they’re an introduction to networks, network analysis, and network visualization (I prefer “representation”) for humanities scholarship.

 

So, to better facilitate teaching folks about networks, I built this network toy using D3.js for all the information visualization bits. If you’re going to play with it, you should probably do so in Safari or Chrome, since it uses range sliders and SVG, which does not run so well in Firefox or Internet Explorer. It’s very rough, but I hope to get some feedback on it before these workshops, as well as provide anyone who might be taking these workshops or otherwise interested in the subject matter a chance to play with it.

 

I built this for three audiences, really. The first is the growing body of humanities scholars who feel that networks have something to do with understanding the phenomena they research. The second is the general public, who I think is becoming more and more exposed to and familiar with network visualization. The third audience was me. By building something like this in JavaScript, it forced me to better understand the metrics and principles of networks than I did by using out-of-the-box algorithms.

 

I want to iterate that this is very rough, and there are not only many missing pieces, but also likely to be issues with the implementations. I’ve tried to note when that’s the case, but I hope to extend this tool/toy as I have time and as I receive feedback.

more...
No comment yet.
Rescooped by luiy from BIG data, Data Mining, Predictive Modeling, Visualization
Scoop.it!

#Predictive models – Implementation vs Specification

Benjamin Good recently asked about the existence of public repositories of predictive molecular signatures. From his description, he's looking for platforms that are capable of deploying predictive models.

Via AnalyticsInnovations
luiy's insight:

Benjamin Good recently asked about the existence of public repositories of predictive molecular signatures. From his description, he’s looking for platforms that are capable of deploying predictive models. The need for something like this is certainly not restricted to genomics – the QSAR field has been in need for this for many years. A few years back I described a system to deploy R models and more recently the OCHEM  platform attempts to address this. Pipelining tools usually have a web deployment mode that also supports this idea. One problem faced by such platforms in the cheminformatics area is that the deployed model must include the means to evaluate the input features (a.k.a., descriptors). Depending on the licenses associated with descriptor software such a bundle may not be easily deployed. A gene-based predictor obviously doesn’t suffer from this problem, so it should be easier to implement. Benjamin points out the Synapse platform which looks quite nice, but only supports R models (not necessarily a bad thing!). A very recent candidate for generic predictive model (amongst other things) deployment is via plugins for the BARD platform.

 

But in my mind, the deeper issue that should be addressed is that of model specification. With a robust specification, evaluation of the model could implemented in arbitrary languages and platforms – essentially decoupling model definition and model implementation. PMML is one approach to predictive model specifications and is quite general (and a good solution for the gene predictor models that Benjamin is interested in). A field-specific example would be QSAR-ML (also see here) for QSAR models. One could then imagine repositories of model specifications, with an ecosystem of tools and services that instantiate models from these specs.

more...
No comment yet.
Rescooped by luiy from Systems Theory
Scoop.it!

Network of brain cells models smart power grid | KurzweilAI

Network of brain cells models smart power grid | KurzweilAI | e-Xploration | Scoop.it
A network of hundreds or thousands of dissociated mammalian cortical cells (neurons and glia) are cultured on a transparent multi-electrode array. Activity is

Via Spaceweaver, Ben van Lier
luiy's insight:

Role of the brain

Because the brain operates in a completely different way than traditional computing systems, the first step was to try to make sense of how the brain integrates and responds to data. To do so, Venayagamoorthy enlisted the expertise of neuroscientist Steve Potter, Ph.D., director of the Laboratory for NeuroEngineering at the Georgia Institute of Technology.

Potter recently pioneered a new method for understanding how the brain integrates and responds to information at the network level. The technique involves growing neurons in a dish containing a grid of electrodes that can both stimulate and record activity. The electrodes connect the neuronal network to a computer, allowing two-way communication between the living and the electronic components.

 

Potter’s group has had success with this approach in the past, having shown that living neuronal networks can be made to control computer-simulated animals and simple robots. In the current project, the network is trained to recognize and respond to voltage and speed signals from Venayagamoorthy’s power grid simulation.

“The goal is to translate the physical and functional changes that occur as living neuronal network learns into mathematical equations, ultimately leading to a more brain-like intelligent control system,” says Venayagamoorthy.

 

The purpose is to develop brain-inspired computer code. The investigators have successfully “taught” a living neuronal network how to respond to complex data, and have incorporated these findings into simulated versions called bio-inspired artificial neural networks (BIANNS). They are currently using the new and improved BIANNS to control synchronous generators connected to a power system.

 

Venayagamoorthy and his team hope that this work will pave the way for smarter control of our future power grid.

 

This project was supported by NSF’s Office of Emerging Frontiers in Research and Innovation (EFRI).

more...
mtmeme's curator insight, May 3, 2013 7:59 AM

Maybe a slice or chunk of cerebellum would be a good "driver", since it functions to coordinate inputs to create skilled movement that anticipates needs.

Rescooped by luiy from Papers
Scoop.it!

Friendship Paradox Redux: Your Friends Are More Interesting Than You

Feld's friendship paradox states that "your friends have more friends than you, on average." This paradox arises because extremely popular people, despite being rare, are overrepresented when averaging over friends. Using a sample of the Twitter firehose, we confirm that the friendship paradox holds for >98% of Twitter users. Because of the directed nature of the follower graph on Twitter, we are further able to confirm more detailed forms of the friendship paradox: everyone you follow or who follows you has more friends and followers than you. This is likely caused by a correlation we demonstrate between Twitter activity, number of friends, and number of followers. In addition, we discover two new paradoxes: the virality paradox that states "your friends receive more viral content than you, on average," and the activity paradox, which states "your friends are more active than you, on average." The latter paradox is important in regulating online communication. It may result in users having difficulty maintaining optimal incoming information rates, because following additional users causes the volume of incoming tweets to increase super-linearly. While users may compensate for increased information flow by increasing their own activity, users become information overloaded when they receive more information than they are able or willing to process. We compare the average size of cascades that are sent and received by overloaded and underloaded users. And we show that overloaded users post and receive larger cascades and they are poor detector of small cascades.

 

Friendship Paradox Redux: Your Friends Are More Interesting Than You

Nathan O. Hodas, Farshad Kooti, Kristina Lerman

http://arxiv.org/abs/1304.3480


Via Complexity Digest
luiy's insight:

If you have ever felt like your friends are more interesting or more active than you are, it seems the statistics confirm this to be true for the vast majority of us. The consequence, beyond the psychological implication of comparing oneself to one’s friends, is that we will receive more incoming information than we prefer, i.e., information overload. We make contacts with people who are easiest to discover – who are the most active – but we have a finite budget for communication. The present work shows that the resulting superlinear increase in information arising from following additional users could be a significant cognitive load (Sweller, Merrienboer, and Paas 1998).

more...
No comment yet.
Rescooped by luiy from Anthropology, communication & technology
Scoop.it!

Yes, The AAA's new 'open access' 'journal' is just as disappointing as everyone thought it would be

Yes, The AAA's new 'open access' 'journal' is just as disappointing as everyone thought it would be | e-Xploration | Scoop.it
When the American Anthropological Association announced that it would create an 'open access' 'journal', most people in the anthropology's public sphere were skeptical. Now that it has launched, Op...

Via Andrea Naranjo
luiy's insight:

How different Open Anthropology is from an actual open access journal like Hau. Hau prints original research which is high quality, and it leaves it open forever. What’s more, it also reprints classic material, like Open Anthropology, but it takes genuinely important pieces and leaves them open forever. In fact, for Hau the license is the point of the reprint — they are actively ungating and liberating content that was buried in paper form, or with a restrictive copyright. This is open access publishing done right.

In fact, Open Anthropology doesn’t compare well to Sage. God bless Sage for their unvarnished commercialism — you know that they are driven by profit, and they have gotten very good at being driven by it. They put together professional looking products with a lot of thought put into them, and they tease their availability by briefly letting you get a glimpse at them. The AAA, on the other hand, pretends to something other than self-interest only to produce mediocre work which must be disguised as open access.

 

As far as I can tell, the AAA is trying to justify its screwed up business model by trying to do new and interesting things with the money it takes from its members and libraries. “You get the journals,” they seem to be telling subscribers, “and we use the money we make to produce new and interesting scholarly products which you get for free.” Sometimes this is a good strategy — the AAA’s syllabus exchange is a great example of one such product. But in my opinion, however much money it cost to produce Open Anthropology is too much. Everyone would be well-served by lower journal prices and less of these sorts of experiments.

more...
No comment yet.
Scooped by luiy
Scoop.it!

Re-imagining the Interaction Paradigm for Scientific Visualization

Video accompanying the paper in IEEE Computer Abstract: Seeing, touching, sketching, exploring---throughout history these fundamental physical activities hav...
more...
No comment yet.
Rescooped by luiy from Digital Humanities and Linked Data
Scoop.it!

A Visual Way to Navigate Among Comments

A Visual Way to Navigate Among Comments | e-Xploration | Scoop.it

Disqus, a comments platform for bloggers, is trying to help people find unique conversations using data visualization.


Via Intriguing Networks
more...
No comment yet.
Scooped by luiy
Scoop.it!

Welcome to Cyberia. Notes on the Anthropology of Cyberculture. Escobar Et Al 1994.

Scribd is the world's largest social reading and publishing site.
more...
No comment yet.
Rescooped by luiy from History 2[+or less 3].0
Scoop.it!

Eduteka - ¿Qué retos impone hoy el ciberespacio a la formación ciudadana?

Eduteka - ¿Qué retos impone hoy el ciberespacio a la formación ciudadana? | e-Xploration | Scoop.it
La creciente presencia de adolescentes y jóvenes en el ciberespacio y su participación activa en las redes sociales, genera retos a las instituciones educativas y a los docentes, en relación con la formación ciudadana y el concepto de...

Via PuertoTICs, Rui Guimarães Lima
luiy's insight:

Desde el punto de vista técnico, este territorio es “un espacio social que se estructura a partir de los actores que lo integran” (López, 2006). Por su parte, Kitchin, citado por López (2006: 546), plantea que “a diferencia de los vínculos físicos del mundo, los seres del ciberespacio no dependen de la biología, el nacimiento, las circunstancias sociales o la geografía, sino que son una fabricación intelectual, altamente manipulable y completamente descorporizada”.

Es así como el ciberespacio posibilita la generación de ciberculturas que según Lévy (2007: 99) se basan en tres principios: interconexión, comunidades virtuales e inteligencia colectiva. Respecto al primer principio, en la cibercultura no tiene cabida el aislamiento, la comunicación es global; cada vez son más los artefactos que se interconectan para enviar y recibir información, permitiéndole a buena parte [6] de la humanidad, superar las fronteras territoriales. El segundo principio se refiere a las comunidades virtuales que se construyen a partir de “afinidades de intereses o conocimientos, compartiendo proyectos, en un proceso de cooperación o de intercambio, y esto independientemente de las proximidades [o lejanías] geográficas” (Lévy, 2007: 100). Estas comunidades tienen sus propias normas de conducta como es el caso de la “Netiqueta” [9] y la ética implícita en ellas es la de la reciprocidad [10]: si aprendo o me beneficio de lo que otros publican, entonces procuro publicar solo aquello que pueda ser beneficioso, de interés o educativo para otros miembros de la comunidad. La inteligencia colectiva, como tercer principio de la cibercultura y fin último de esta, consiste en unir conocimientos, creatividad y acciones de los miembros que integran una comunidad virtual de manera que se generen causas cuyos efectos sea superiores a la suma de los efectos producidos individualmente. Wikipedia, la enciclopedia de construcción colectiva, es tal vez el ejemplo más emblemático de este principio.

more...
No comment yet.
Scooped by luiy
Scoop.it!

Predicting the Performance of Analytics Talent | MIT Sloan Management Review

Predicting the Performance of Analytics Talent | MIT Sloan Management Review | e-Xploration | Scoop.it
How to hire the right talent to overcome big data project failures.
luiy's insight:

Fifty-five percent of big data analytics projects are abandoned.

This surprising finding comes from a recent survey of 300 IT professionals, conducted by a company called InfoChimps.

 

The most significant challenge with analytics projects, according to the survey? Finding talent. Most (80%) of the respondents said that the top two reasons analytics projects fail are that managers lack the right expertise in house to “connect the dots” around data to form appropriate insights, and that projects lack business context around data.

 

Greta Roberts, CEO of Talent Analytics Corp. says that part of the reason there is such a skills shortage with data scientists is that the current job description, often the one floated by Thomas Davenport and D.J. Patil, doesn’t quite hit the mark.

 

“It’s over-specified,” said Roberts. “There is a null set of people that fit the entire description. They’re unicorns; you can’t find them. Or there are a very limited number of people that fit the criteria.

 

“When you review data scientist hiring criteria you’ll find mutually exclusive requirements,” Roberts continues. “They want charismatic communicators that are able to effectively present findings. At the same time, they want people to sit and work with data all day. These are two different types of people. Our data shows companies in fact split up these roles.”

 

In the October 2012 issue of Harvard Business Review, Davenport and Patil popularized the idea that data scientists have “The Sexiest Job of the 21st Century.” These folks, they suggest, can do it all: make discoveries, write code, understand their technical limitations while fashioning new tools, conduct academic-style research and communicate effectively.

 

Roberts isn’t so much criticizing the work done by Davenport and Patil — both are leading researchers in the area of data analytics — as she is expanding upon their definition of a successful data scientist. As a faculty member at theInternational Institute for Analytics where Davenport is a co-founder and research director, Roberts’s team conducted research to determine if there is a common “fingerprint” among all data scientists. They looked for characteristics that are different from skills, experience or education — traits that govern motivation, indicate creativity and drive success....

more...
No comment yet.
Rescooped by luiy from Ma santé et le digital francophone
Scoop.it!

E-santé, télémédecine, TIC... ? "Regards croisés sur la santé" - DbtMobile, le blog

E-santé, télémédecine, TIC... ? "Regards croisés sur la santé" - DbtMobile, le blog | e-Xploration | Scoop.it
E-santé,... http://t.co/anPc1cTzu3
#dependance #esante #maladieschroniques #msante #patient20 #sante20 #seniors #telemedecine #telesuivi

Via Emmanuel Capitaine
luiy's insight:

Le sixième numéro de la lettre externe du CISS, Regards croisés sur la santé, traite del’informatisation des données de santé.

 

 

L’application à la santé des technologies de l’information et de la communication porte de grands espoirs en matière d’amélioration de la qualité des soins pour les usagers, et de qualité de vie pour les malades.


Télémédecine, télésanté, appelée aussi e-santé, qui englobe les activités, les services et les systèmes de santé à distance basés sur l'utilisation des technologies de l'information et de la communication... et même ce que l'on commence à appeler la m-santé, c'est-à-dire l'utilisation des terminaux mobiles (téléphones, tablettes) dans le domaine de la santé... Cette révolution par les nouvelles technologies de l'information et de la communication n'échappe à personne, ouvre de nouvelles perspectives, sucite de nombreux espoirs, mais elle pose aussi beaucoup de questions !


L’actualité en la matière est riche tout en restant marquée par un certain attentisme de nombreux acteurs, dans un environnement encore peu propice à ce que le public s’empare de ces sujets puisque ce qui concerne le plus directement les usagers, à savoir le déploiement du dossier médical personnel et du dossier pharmaceutique, peut encore être aujourd’hui qualifié respectivement de balbutiant et de discret.

 

Aussi avons-nous souhaité faire le point sur l’état de développement actuel de ces technologies en France et leurs enjeux, en se focalisant sur trois points principaux :

 

la protection des libertés individuelles et collectives (droit à la sécurité, à la confidentialité, …),les risques de croissance des inégalités de santé (prix, sélection des bénéficiaires),et les perspectives pour la coordination et la qualité des soins.

 

Afin que chacun se forge sa propore opinion sur le sujet, le CISS interroge dans ce numéro, fidèle à l'esprit euristique de cette lettre d'information, les différents acteurs impliqués dans ces enjeux de santé : professionnels de santé, associations d'usagers, autorités d'Etat, industriels et spécialistes..

more...
No comment yet.
Scooped by luiy
Scoop.it!

Python Programming for the Humanities by fbkarsdorp

luiy's insight:

The programming language Python is widely used within many scientific domains nowadays and the language is readily accessible to scholars from the Humanities. Python is an excellent choice for dealing with (linguistic as well as literary) textual data, which is so typical of the Humanities. In this tutorial you will be thoroughly introduced to the language and be taught to program basic algorithmic procedures. This tutorial expects no prior experience with programming, although we hope to provide some interesting insights and skills for more advanced programmers as well. The tutorial consists of six chapters.

Chapter 1 starts with the very basics where we will try to wet your appetite. You will be asked to do many short quizes to test whether you really understand the material.Chapter 2 provides you with many indispensable tools that will help you to deal with the more advanced problems in the next chapters.Chapter 3 deals with preprocessing text. You will build a full-blown tokeniser and will learn how to clean up your data.Chapter 4 is a more theoretical chapter that explains to you some of the basic programming principles, common practices and where to find documentation.In chapter 5 things are becoming increasingly difficult. First, you will write a program to compute the readability of texts. Next, you will implement the basic algorithm that is behind authorship attribution!In chapter 6 we will introduce you to the concept of Object Oriented Programming. You will implement a network structure with which you can analyze relations between people on Twitter.
more...
No comment yet.
Rescooped by luiy from BIG data, Data Mining, Predictive Modeling, Visualization
Scoop.it!

Scaling Big Data Mining Infrastructure at Twitter

Scaling Big Data Mining Infrastructure at Twitter | e-Xploration | Scoop.it
One paper that I read last Friday evening comes from Twitter Scaling Big Data Mining Infrastructure: The Twitter Experience, authored jointly by Jimmy Lin (@lintool on Twitter) and Dmitriy Ryaboy... (RT @KirkDBorne: Gr8t #BigData #DataScience!

Via AnalyticsInnovations
luiy's insight:

The analytics platform at Twitter has experienced tremen-
dous growth over the past few years in terms of size, com-
plexity, number of users, and variety of use cases. In this
paper, we discuss the evolution of our infrastructure and the
development of capabilities for data mining on \big data".
One important lesson is that successful big data mining in
practice is about much more than what most academics
would consider data mining: life \in the trenches"is occupied
by much preparatory work that precedes the application of
data mining algorithms and followed by substantial e ort to
turn preliminary models into robust solutions. In this con-
text, we discuss two topics: First, schemas play an impor-
tant role in helping data scientists understand petabyte-scale
data stores, but they're insucient to provide an overall \big
picture" of the data available to generate insights. Second,
we observe that a major challenge in building data analytics
platforms stems from the heterogeneity of the various com-
ponents that must be integrated together into production
work ows|we refer to this as \plumbing". This paper has
two goals: For practitioners, we hope to share our experi-
ences to atten bumps in the road for those who come after
us. For academic researchers, we hope to provide a broader
context for data mining in production environments, point-
ing out opportunities for future work.

more...
No comment yet.