e-Xploration
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e-Xploration
antropologiaNet, dataviz, collective intelligence, algorithms, social learning, social change, digital humanities
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Sciences du Design : #Algorithmes - Éditorial - Cairn.info I #cartographie #dataviz

Sciences du Design : #Algorithmes - Éditorial - Cairn.info I #cartographie #dataviz | e-Xploration | Scoop.it
dans le cadre de ce numéro 04, la rubrique Visualisation accueille trois réalisations. La première, proposée par Sonia Pelloux, s’intitule « Cartographie des données : donner à voir l’open data SNCF ». Elle rend compte, notamment, des possibilités et avantages multiples d’une navigation par graphe au sein de la structure des données (de l’exploration visuelle de concepts et bases de données diverses). La deuxième réalisation titrée « Cloud Map » est de Ianis Lallemand. Partant de l’analyse de 2998 coordonnées GPS de centres de données, celle-ci situe la distribution géographique mondiale des infrastructures matérielles allouées au « Cloud Computing ». Il en résulte une représentation cartographique « en volume » offrant de voir autant que de sentir le poids, l’imposante présence d’une implantation dès lors massive de ce type d’installation. Enfin, la troisième réalisation fut composée en 2014 par Yann Le Guennec † – celle-ci vient en complément ou « résonance » avec le texte publié à titre posthume dans la rubrique Supplément. Intitulée « Les Paysages des erreurs », il s’agit d’une création artistique avec les données (Data Art) lesquelles deviennent ici le matériau brut d’une « activation » picturale/plastique programmée modifiant, altérant l’image « support » et sa signification. Ces trois projets sont à retrouver également sur le mini-site Visualisation de la revue à l’adresse : visu.sciences-du-design.org – à noter la publication d’une vidéo de présentation de l’application logicielle ici introduite par Sonia Pelloux.
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Marlowe : Vers un générateur d’expériences de pensée sur des dossiers #complexes | #DH #AI #agents

Marlowe : Vers un générateur d’expériences de pensée sur des dossiers #complexes | #DH #AI #agents | e-Xploration | Scoop.it
Marlowe, Toward A Generator of Thought Experiments on Complex Files: An author, an experimenter and a reviewer of the computer programs, Marlowe and Prospero, contribute in this article, respectively and successively, an extensive and detailed presentation of Marlowe, a report on what it is like to interact with Marlowe and a review of the recently-published work, by the first author, describing the development of Prospero for the Analyse of complex dossiers of texts concerning a social controversy, and Prospero's extension and adaptation with Marlowe to direct natural language dialog with researchers concerning specific complex dossiers.
luiy's insight:

Comme première définition du type d’expériences engendrées par Marlowe, on peut parler de « dialogues avec un ensemble de mémoires externes ». Marlowe (nom de code : MRLW) est en effet dépositaire de structures de représentation et de stocks de connaissances qui permettent de lui déléguer des tâches d’enquête fastidieuses. Ses ressources étant en grande partie externalisées, MRLW peut permettre un travail collectif via le cumul de concepts et d’exemples, de règles et de procédures éprouvées sur différents dossiers. Contrairement au chercheur humain, MRLW peut explorer, et exploiter, sans autre limite que les capacités de la machine qui l’abrite, d’innombrables combinaisons. Comme la restitution pure et simple de l’ensemble des combinaisons ou des chemins possibles n’aurait aucun sens – augmentant considérablement le travail interprétatif du chercheur – le dialogue sert de cadrage, ou plutôt d’espace de négociation des prises pertinentes par lesquelles s’affirme la maîtrise d’un ou de plusieurs dossiers. MRLW joue son rôle de maintien de la réflexivité à partir de quatre grands types de fonctionnalités :

 

- des accès documentés à des informations difficiles à extraire manuellement (c’est-à-dire par la recherche visuelle dans de multiples fenêtres) ;

 

- des opérations d’évaluation et de synthèse offrant des angles de vue diversifiés sur un même corpus ;

 

- des modèles ou des espaces de calcul aidant à éprouver la consistance des interprétations du chercheur ;

 

- des outils de contrôle sur la composition du corpus, le cadre d’analyse et les priorités du chercheur.

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The Potential of Social Network Analysis in #Intelligence | #SNA #ONA

The Potential of Social Network Analysis in #Intelligence | #SNA #ONA | e-Xploration | Scoop.it
Within its limits, SNA can be applied to identify individuals or organizations within a network, generate new leads and simulate flows of information or money throughout a network.

Via Pierre Levy
luiy's insight:

Social Network Analysis, as an analytic method, has inarguable applicability to the field of intelligence and is progressively reshaping the analytic landscape in terms of how analysts understand networks. For example, analysts currently use SNA to identify key people in an organization or social network, develop a strategic agent network, identify new agents and simulate information flows through a network. Beyond this, SNA can be easily combined with other analytic practices such as Geographic Information Systems (GIS), gravity model analysis or Intelligence Preparation of the Battlefield (IPB) to create robust, predictive analyses.

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Um ecossistema POLÍTICO-EMPRESARIA PORTUGAL 1975-2013 I #dataviz #abm #politics

Um ecossistema POLÍTICO-EMPRESARIA PORTUGAL 1975-2013 I #dataviz #abm #politics | e-Xploration | Scoop.it

"Interactive visualization of the relations between members of Portuguese governments and companies"


Via João Greno Brogueira
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Interactive Sensing in Social Networks I #sensors #agents

Interactive Sensing in Social Networks I #sensors #agents | e-Xploration | Scoop.it
luiy's insight:

Social sensing, also called participatory sensing [1], [2], [3], [4], is defined as a process where physical sensors present in mobile devices such as GPS are used to infer social relationships and human activities. In this paper, we work at a higher level of abstraction. We use the term social sensor or human-based sensor to denote an agent that provides information about its environment (state of nature) on a social network after interaction with other agents. 

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The Already Existent Future Of The Age of #Context: Mobile, Data, Sensors and the Future of #Privacy.

The Already Existent Future Of The Age of #Context: Mobile, Data, Sensors and the Future of #Privacy. | e-Xploration | Scoop.it

The Age of Context is a tour-de-force documentary of the state of technology in 2013 looking across a broad number of fields: healthcare, transportation, the electronic home, urbanization, mobile devices, marketing, and understanding customers.


Via Kenneth Mikkelsen
luiy's insight:

Pinpoint marketing is about right-time experiences, as described by mobile industry analyst Maribel Lopez of Lopez Research. There is not only a time and place for the experience but taking input from the situation of the environment beyond one’s self, their relationship network, preferences and the overlap with the possibilities of vendor offerings in that same space. It then follows with that negotiation of all this contextual information from the individual buyers viewpoint, and the sellers. There is a world of proxy agents coming for each side, consummated by the final purchase decision of the buyer.

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Report: #Bot traffic is up to 61.5% of all website traffic | #scrapers #agents

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

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

luiy's insight:

Research Methodology

 

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

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Twitter Trends Help Researchers Forecast Viral #Memes | #SNA #datascience

Twitter Trends Help Researchers Forecast Viral #Memes | #SNA #datascience | e-Xploration | Scoop.it

What makes a meme— an idea, a phrase, an image—go viral? For starters, the meme must have broad appeal, so it can spread not just within communities of like-minded individuals but can leap from one community to the next. Researchers, by mining public Twitter data, have found that a meme's “virality” is often evident from the start. After only a few dozen tweets, a typical viral meme (as defined by tweets using a given hashtag) will already have caught on in numerous communities of Twitter users. In contrast, a meme destined to peter out will resonate in fewer groups.

 


Via Claudia Mihai
luiy's insight:

Those differences allowed Weng and her colleagues to forecast memes that would go viral with an accuracy of better than 60 percent, the team reported in a 2013 study.

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june holley's curator insight, January 23, 2014 8:31 AM

Some important ideas here for people interested in change.

Premsankar Chakkingal's curator insight, January 30, 2014 8:58 AM

Forecasting the Future Twitter Trends in hashtags

Christian Verstraete's curator insight, February 3, 2014 4:48 AM

Twitter, what happens when things go viral?

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Understanding #complexity | #dataviz

Understanding #complexity | #dataviz | e-Xploration | Scoop.it
As I have suggested, it was the most-regulated in the financial system that were in fact the most disaster-prone: big banks on both sides of the Atlantic, not hedge funds.

Via Thomas Faltin
luiy's insight:

A schematic history of human civilization reflects a growing complexity of the collective behavior of human organizations. The internal structure of organizations changed from the large branching ratio hierarchies of ancient civilizations, through decreasing branching ratios of massive hierarchical bureaucracies, to hybrid systems where lateral connections appear to be more important than the hierarchy. As the importance of lateral interactions increases, the boundaries between subsystems become porous. The increasing collective complexity also is manifest in the increasing specialization and diversity of professions. Among the possible future organizational structures are fully networked systems where hierarchical structures are unimportant. – Y. Bar-Yam,Complexity rising: From human beings to human civilization, a complexity profile, EOLSS UNESCO 2002

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#trends: The Role of the Smartphone in Digital Health | #sensors #situational #context

#trends: The Role of the Smartphone in Digital Health | #sensors #situational #context | e-Xploration | Scoop.it
luiy's insight:
Smartphone biosensors

As well as acting as the centralized repository for connected third-party devices the smartphone itself is packed with a range of intelligent sensors that can – and are – being used to help people improve their health.

The latest generation of iPhone, the 5s, has seven inbuilt sensors with the most recent two – the fingerprint sensor and the M7 motion coprocessor – being introduced with the iPhone 5s launch. With nine inbuilt sensors the Samsung Galaxy S4 smartphone has two more than the iPhone.

While not all are specifically designed to be health related, these sensors are being used for health purposes to good effect.

Cardiio is an innovative app that measures heart rate without physical contact. Using the iPhone’s front camera sensor Cardiio analyzes the light that reflects off a user’s face and predicts with an almost perfect degree of accuracy the resting heart rate.

Developed by MIT’s Media Lab, Cardiio works by analyzing the light that reflects of the user’s face. Every time the heart beats, more blood is pumped to the face. This slight increase in blood volume causes more light to be absorbed, and hence less light is reflected from the face.

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Social #agents y #algoritmos - simulated #identities - #bots agents o agentes emergentes - rep.licants.org

Social #agents y #algoritmos - simulated #identities - #bots agents o agentes emergentes - rep.licants.org | e-Xploration | Scoop.it
luiy's insight:

rep.licants.org is a web service allowing users to install an artificial intelligence (bot) on their Facebook and/or Twitter account. From a different set of techniques, the bot attempts to simulate the activity of the user, to improve it by feeding his account and to create new contacts with other users.

The bot does not born with a fictitious identity, but will be added to the real identity of the user to modify it at his convenience. Thus, this bot can be seen as a virtual prothesis added to an user's account, with the aim to build him a greater social reputation. Moreover, this bot can be perceived as a threat by defrauding even more the reality of who is really who on the cyberspace and by showing the poverty of our social interactions on these so-called social networks.

Home | Bot's Diary | About | Stats | Changelog | © 2011 rep.licants.org

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On Cooperation in Multi-Agent Systems

On Cooperation in Multi-Agent Systems | e-Xploration | Scoop.it

Cooperation is often presented as one of the key concepts which differentiates multi-agent systems from other related disciplines such as distributed computing, object-oriented systems, and expert systems. However it is a concept whose precise usage in agent-based systems is at best unclear and at worst highly inconsistent.

 

Given the centrality of the issue, and the different ideological viewpoints on the subject, this was a lively panel which dealt with the following main
issues: ..........

 

More:

http://bit.ly/wmxzJV

http://bit.ly/yjlxM4

 

Bonus:

http://bit.ly/zzFWNn


Via Mhd.Shadi Khudr
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