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IFTF: The Many Faces of Context Awareness

IFTF: The Many Faces of Context Awareness | e-Xploration | Scoop.it
luiy's insight:

In 1988, Mark Weiser laid the foundation for what he called the third wave of computing. The first wave was mainframe computing, followed by the second wave of desktop computing. The third wave, would be a kind of ubiquitous computing—in which technology would recede into the background of our lives. The world is now on the brink of this third wave, and at the heart of it is something we might call context awareness. In the simplest terms, context awareness just means having information about the immediate situation—the people, roles, activities, times, places, devices, and software that define the situation. But context awareness is also about meaning and meaning-making, and it is especially this piece of the technological puzzle—this sensemaking—that we address in this report. To understand the range of context-aware technologies, viewpoints, and applications, we developed a spectrum of context awareness, ranging from those that emphasize top-down design on one end to bottom-up emergence on the other. We hope that this framework will help you anticipate the kinds of successes and failures we'll see in this new wave of computing, as well as the social implications as computing moves into the environment.

 

http://www.iftf.org/uploads/media/SR-1014_Many_Faces_Context_Awareness.pdf

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IFTF: The Future of Science. #eScience #eResearch

IFTF: The Future of Science. #eScience #eResearch | e-Xploration | Scoop.it

A Multiverse of Exploration: The Future of Science 2021

Invisibility cloaks. The search for extraterrestrial intelligence. A Facebook for genes. These were just a few of the startling topics IFTF explored at our Technology Horizons Program conference in on the "Future of Science." More than a dozen scientists from UC Berkeley, Stanford, UC Santa Cruz, Scripps Research Institute, SETI, and private industry shared their edgiest research driving transformations in science. MythBusters' Adam Savage weighed in on the future of science education. All of their presentations were signals supporting IFTF's new "Future of Science" forecast, laid out in a new map titled "A Multiverse of Exploration: The Future of Science 2021" (featured on CNN's What's Next and BoingBoing). The map focuses on six big stories of science that will play out over the next decade: Decrypting the Brain, Hacking Space, Massively Multiplayer Data, Sea the Future, Strange Matter, and Engineered Evolution. Those stories are emerging from a new ecology of science shifting toward openness, collaboration, reuse, and increased citizen engagement in scientific research.


Via Terheck, NikolaosKourakos, Rui Guimarães Lima
luiy's insight:

The map focuses on six big stories of science that we think will play out over the next decade:

Decrypting the Brain,Hacking Space,Massively Multiplayer Data,Sea the Future,Strange Matter, andEngineered Evolution.
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Data Visualization: lucha libre mexicana "mascara VS cabellera"

Data Visualization: lucha libre mexicana "mascara VS cabellera" | e-Xploration | Scoop.it
Data visualization interface. //Inside * When did the wrestler lost mask //Outside * Teams
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Visualizing social learning ties by type and topic: rationale and concept demonstrator

luiy's insight:

Social Learning Analytics (SLA) are designed to support students  learning through social networks, and reflective practitioners  engage in informal learning through a community of practice.

 

This short paper reports work in progress to develop SLA  motivated specifically by Networked Learning Theory, drawing  on the related concepts and tools of Social Network Analytics and  Social Capital Theory, which provide complementary perspectives onto the structure and content of such networks. We propose that SLA based on these perspectives needs to devise models and visualizations capable of showing not only the usual SNA metrics, but the types of social tie forged between actors, and topic-specific subnetworks. We describe a technical implementation demonstrating this approach, which extends the Network Awareness Tool by automatically populating it with data from a social learning platform SocialLearn. The result is the ability to visualize relationships between people who interact around the same topics.

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#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.

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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).

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mtmeme's curator insight, May 3, 2013 10:59 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.

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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).

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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.

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

Scribd is the world's largest social reading and publishing site.
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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.

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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....

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Naomi Klein: Time for big green to go fossil free

Naomi Klein: Time for big green to go fossil free | e-Xploration | Scoop.it

Some mainstream environmental organizations are trying to wean themselves from fossil fuel investments—but some aren’t.

luiy's insight:

The movement demanding that public interest institutions divest their holdings from fossil fuels is on a serious roll. At last count, there were active divestment campaigns on 305 campuses and in more than 100 US cities and states. The demand has spread to Canada, Australia, the Netherlands and Britain. And though officially launched just six months ago, the movement can already claim some provisional victories: four US colleges have announced their intention to divest their endowments from fossil fuel stocks and bonds, and in late April ten US cities made similar commitments, including San Francisco (Seattle came on board months ago).

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eResearch Tools | NeCTAR

eResearch Tools | NeCTAR | e-Xploration | Scoop.it
luiy's insight:

eResearch tools for Australian researchers

 

NeCTAR eResearch Tools will provide research software for the Australian research community and address specific research needs. The eResearch tools program has a strong focus on enhancing existing tools and applications to be more collaborative, accessible and support research workflows. The eResearch tools will be deployed on NeCTAR'S Research Cloud.

 

Who will build Nectar's e-Research tools?

 

The Australian research community and their technical partners will build NeCTAR's e-Research Tools and were invited via NeCTAR's stage one Request for Proposal, September 2011, to submit project proposals. The following groups and their collaborating partners are now contracted to build NeCTAR's e-Research Tools.

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How Obama Used 'Ethnography Project' to Defeat Mitt Romney in 2012

How Obama Used 'Ethnography Project' to Defeat Mitt Romney in 2012 | e-Xploration | Scoop.it
Massive research into voters' attitudes yielded Obama a re-election victory over Mitt Romney.
luiy's insight:

... But the story of Obama's ethnography project is also a cautionary tale for the president. It's not enough to understand the electorate. A president also must be able to act on that understanding and make progress, and that's where Obama has fallen down on the job. His agenda has stalled, and in the case of a gun-control bill, it has been defeated outright on Capitol Hill.

 

At his news conference this week, Obama admitted that, 100 days into his second term, he was having trouble getting things done. He blamed Republican intransigence and said he can't be expected to make his opponents "behave."

 

"Right now, things are pretty dysfunctional up on Capitol Hill," Obama declared, stating the obvious. But Americans expect more than excuses. They want their president to make the system work. They want their leader to be not only a good listener, but also someone who delivers results.

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Rescooped by luiy from Social Network Analysis #sna
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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.

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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.”
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Pierre Levy's curator insight, May 2, 2013 4:56 PM

The dark side of Wikipedia

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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
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Viktor Markowski's curator insight, May 3, 2013 6:02 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.

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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.

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Gary Bamford's curator insight, May 3, 2013 4:47 AM

The science of Twitter :O

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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.

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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
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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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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
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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
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