Mapping Social Networks The growth of social networks such as Facebook and MySpace has introduced the idea of the 'social graph' into common parlance. the social graph is Watch this short video describing the proof of concept Vizter social network browser visualisation: Vizter explanatory video. How does vizter allow you to identify friends you have in common with other people? How does vizter help the user identify possible communities in the social graph? If you have a Facebook account, there are several tools that you can use to visualise your friends network on there (requires adding the visulisation as a Facebook application). Touchgraph frinds'n'photos browser;Nexus social graph browser;FriendwheelFacebook Mutual Friend Network Visualization in FlashFriends visulisation in Many Eyes: this application will mine your friends network and produce a data output that will let you visualise your friends network using the Many Eyes network visualisation tool. There are a couple of things to note about this graph.
Infomous Network Visualization Immersion by the MIT Media Lab is a view into your inbox that shows who you interact with via email over the years. Immersion is an invitation to dive into the history of your email life in a platform that offers you the safety of knowing that you can always delete your data.Just like a cubist painting, Immersion presents users with a number of different perspectives of their email data. It provides a tool for self-reflection at a time where the zeitgeist is one of self-promotion. It provides an artistic representation that exists only in the presence of the visitor. The base view is a network diagram where each node represents someone you've exchanged email with. We've seen views of our inbox before and they usually just show simple time series charts and people who you email most.
Les Tableaux de Bord des Territoires Un condensé d’informations sur les territoires, complet et toujours à jour Vidéo : démonstration des Tableaux de Bord des Territoires Des Tableaux de Bord interactifs Les tableaux de bord des territoires (TBT) sont des fiches multi média interactives, livrées sur Internet, et construits sur les bases de données permettant de tracer un portrait complet de territoires géographiques sous des dimensions géographiques, démographiques, économiques ou plus généralement sociétales. Des Tableaux de Bord toujours à jour Grâce aux technologies propriétaires de Data Publica, les TBT sont en permanence à jour des données les plus récentes sur les différentes dimensions couvertes. Une base de données web Hi-Tech et des outils de visualisation Dans le détail, un TBT est défini par deux paramètres essentiels : La granularité géographique du tableau : pays, région, département, commune, zone d’activité, zone d’emploi, quartier, etc. De nombreux bénéfices pour l’utilisateur Eric Fritsch-Renard Consultant senior
Gephi, an open source graph visualization and manipulation software MindMapCiel : mes outils de Mind mapping MindMapCiel mes outils de Mind mapping Services web collaboratifs intégration avec la suite Office iThoughtsHD Kartoo Fermé depuis janvier 2010 Google - Roue magique Fermé depuis juillet 2011 Trop complexe à maintenir Wikimindmap Naviguer heuristiquement dans Wikipedia Mindmappedia Encylcopédie sous forme de mind map Gephi: eye-popping, free graph analysis May 16th, 2010 | By Vic | Category: Mindmapping software, Network visualization The latest addition to Mind-Mapping.Org is a mapping application with a formidable collection of exciting and engaging ways of presenting and visually analysing networks – or as maths buffs call them, graphs. Gephi Gephi is an interactive tool for visualizing and exploring networks and complex graphs. ”This is a software for Exploratory Data Analysis, a paradigm that appeared in the Visual Analytics field of research”, they say. Its purpose is to help data analysts to uncover patterns and anomalies, or faults during data sourcing. It is used for exploratory data analysis; link analysis; social network analysis; and biological network analysis. It employs metrics to analyse connectedness of nodes (degree – power-law, betweenness, closeness), density, path length, diameter, HITS, modularity, clustering coefficient. Vic