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GUESS: The Graph Exploration System

GUESS: The Graph Exploration System
About GUESS GUESS is an exploratory data analysis and visualization tool for graphs and networks. The system contains a domain-specific embedded language called Gython (an extension of Python, or more specifically Jython) which supports the operators and syntactic sugar necessary for working on graph structures in an intuitive manner. An interactive interpreter binds the text that you type in the interpreter to the objects being visualized for more useful integration. GUESS also offers a visualization front end that supports the export of static images and dynamic movies. Because GUESS is Jython/Java based you can also construct your own applications and applets without much coding.

Related:  Outils d'analyse du corpusText mining

Navicrawler UPDATE: There now a portable version of Firefox with Navicrawler included: More information on these: These folders are zipped. Quelques outils pour visualiser les réseaux sociaux L’analyse des réseaux sociaux permet de mieux comprendre le comportement des acteurs et des communautés : quelle est la place de l’acteur au sein de l’ensemble ? Est-il central ? périphérique ? Fait-il le lien entre différentes communautés ? Data Visualization: Modern Approaches « Smashing Magazine About The Author Vitaly Friedman loves beautiful content and doesn’t like to give in easily. When he is not writing or speaking at a conference, he’s most probably running … More about Vitaly Friedman … Data presentation can be beautiful, elegant and descriptive. There is a variety of conventional ways to visualize data - tables, histograms, pie charts and bar graphs are being used every day, in every project and on every possible occasion. However, to convey a message to your readers effectively, sometimes you need more than just a simple pie chart of your results.

Blog Le dessous des "labs" Billet publié par Stéphane Vincent Vous en avez assez des "labs" ? Difficile de vous le reprocher... Sur les dizaines d’annonces régulières de nouveaux laboratoires d’innovation (sociale, numérique, administrative, qu’ils soient d’initiative privée ou publique), combien relèvent d’un "me-too marketing" désastreux qui contribue à dévaluer un concept pourtant fertile ?

Social network analysis software Social network analysis software (SNA software) is software which facilitates quantitative or qualitative analysis of social networks, by describing features of a network either through numerical or visual representation. Overview[edit] Some SNA software can perform predictive analysis.[5] This includes using network phenomena such as a tie to predict individual level outcomes (often called peer influence or contagion modeling), using individual-level phenomena to predict network outcomes such as the formation of a tie/edge (often called homophily models[6]) or particular type of triad, or using network phenomena to predict other network phenomena, such as using a triad formation at time 0 to predict tie formation at time 1.

OutWit, l'outil indispensable pour les recruteurs / sourceurs Je connais Michel Sarfati depuis 2010 et ma rencontre avec lui au premier #TruLondon… Nous étions les 2 seuls français présents à l’évènement. Depuis ce fameux #TruLondon, Michel a énormément réfléchi aux questions liées au sourcing et comment avec des outils améliorer les requêtes de recherche mais aussi automatiser le recueil d’informations. Dans cet entretien, Michel nous présente un outil très populaire aux Etats-Unis, OutWit, mais créé par un français (c’est mon cocorico !) qui aide considérablement les professionnels du recrutement.

XmdvTool Home Page: Overview Overview XmdvTool is a public-domain software package for the interactive visual exploration of multivariate data sets. It is available on all major platforms such as UNIX, LINUX, MAC and Windows. XmdvTool is developed using Qt and Eclipse CDT. It supports five methods for displaying flat form data and hierarchically clustered data:

Claude BOURGUIGNON Microbiologiste des Sols - Agricultiver En tant que spécialiste de la vie des sols, pouvez-vous estimer le pourcentage des sols de France atteints par la pollution (et dans quelle proportion) ? – Claude Bourguignon : 10% des sols sont pollués par des métaux lourds. 60% sont frappés d’érosion. 90% ont une activité biologique trop faible et en particulier un taux de champignons trop bas. Idem dans le monde. De plus le phénomène de fatigue des sols (chute de rendements) se fait sentir en maraîchage et en culture betteravière.

Rev. Saúde Pública vol.47 no.2 São Paulo Apr. 2013 Differences between h-index measures from different bibliographic sources and Growth in scientific production, its importance in economic and social development and the consequent consolidation of science as a public policy object in the second half of the 20thcentury brought with it them the need to develop indicators capable of measuring and evaluating the performance of complex scientific activities in general, and of its components – researchers and institutions – in particular. In spite of their recognized limitations, bibliometric indicators are the most widely used to evaluate scientific activity and its influence and impact. 13 Bibliometric measurements capable of measuring and qualifying scientific productivity are developed to report the performance of researchers, groups and research institutions and to guide the promotion of scientists, fostering research and personnel training. Bibliometrics is a vast field of empirical study and one of the bases of scientometrics. Table 1. a Kruskal-Wallis test Table 2.

Open Flash Chart - Hello, this is the Open Flash Chart project. Get graphs like this for free: How does it work? User browses to your web site.The browser downloads the web page which contains the Open Flash Chart.Open Flash Chart downloads the data file and displays the chart. Your first map – Gargantext version Note : click on the hot spots in the images to get more explanation. Gargantext is designed to produce living maps that evolve as you work with them. They can be used for dressing a state-of-the-art, mapping a bunch of documents, setting up a collective representation of a problem, etc. The map is not the ultimate goal, rather, it is the back and forth between the different levels of your corpora (document, terms, maps, etc.) that is the main resource and help you to build an adaptive representation of a question or a problem. This tutorial explain you how to build the first map that will bootstrap your work with Gargantext.

50 Great Examples of Data Visualization Wrapping your brain around data online can be challenging, especially when dealing with huge volumes of information. And trying to find related content can also be difficult, depending on what data you’re looking for. But data visualizations can make all of that much easier, allowing you to see the concepts that you’re learning about in a more interesting, and often more useful manner. Below are 50 of the best data visualizations and tools for creating your own visualizations out there, covering everything from Digg activity to network connectivity to what’s currently happening on Twitter. Music, Movies and Other Media Narratives 2.0 visualizes music.

TreeSheets A "hierarchical spreadsheet" that is a great replacement for spreadsheets, mind mappers, outliners, PIMs, text editors and small databases. Suitable for any kind of data organization, such as todo lists, calendars, project management, brainstorming, organizing ideas, planning, requirements gathering, presentation of information, etc. It's like a spreadsheet, immediately familiar, but much more suitable for complex data because it's hierarchical. It's like a mind mapper, but more organized and compact.