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Network Workbench

Network Workbench
Related:  Outils d'analyse du corpusText mining

Cytoscape: An Open Source Platform for Complex Network Analysis and Visualization GUESS: The Graph Exploration System NodeXL: Network Overview, Discovery and Exploration for Excel - Home Small-world network Small-world network exampleHubs are bigger than other nodes Average vertex degree = 1,917 Average shortest path length = 1.803. Clusterization coefficient = 0.522 Random graph Average vertex degree = 1,417 Average shortest path length = 2.109. Clusterization coefficient = 0.167 In the context of a social network, this results in the small world phenomenon of strangers being linked by a mutual acquaintance. Properties of small-world networks[edit] This property is often analyzed by considering the fraction of nodes in the network that have a particular number of connections going into them (the degree distribution of the network). ) is defined as R. Examples of small-world networks[edit] Small-world properties are found in many real-world phenomena, including road maps, food chains, electric power grids, metabolite processing networks, networks of brain neurons, voter networks, telephone call graphs, and social influence networks. Examples of non-small-world networks[edit] See also[edit]

Gephi, an open source graph visualization and manipulation software Navicrawler | WebAtlas UPDATE: There now a portable version of Firefox with Navicrawler included: More information on these: These folders are zipped. Unzip and run “Firefox Portable”. You might have some obvious messages, and after that you have a fully functionnal Firefox 3.6 with Navicrawler installed.These are portable apps, it means that they do not interfere with other versions of Firefox that you might have. They do not install, you have to run them from their folder.Two other extensions are also installed: Flem and Greasemonkey. Regular versions: You can download the Navicrawler 1.7 or the Navicrawler 1.8b (now hosted directly on WebAtlas.fr). The Navicrawler is no longer supported. In this “next generation Navicrawler” you will be able to dynamically change the boundaries of every website, to have graphs with pages and websites at the same time, and to declare aliases (the same website with different domain names). Documentation (in French):

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 ? Cette analyse permet de comprendre en profondeur le fonctionnement des communautés en ligne. L’analyse des réseaux sociaux se fait en trois temps distincts : la récupération des données, leur analyse et leur visualisation. Sur de petits graphes, il est possible de faire la récupération des données a la main. Les données qui sont récupérées concernent le lien : qui est lié à qui ou à quoi, mais on pourra également s’intéresser au volume d’information produits, à sa fréquence et faire quelques corrélations. Navicrawler est une extension Firefox qui explore le contenu et la structure des pages web. Navicrawler n’assurant que la récolte des données, leur traitement doit se faire avec un autre programme : Pajek, Guess, Network Workbench Tool, ou NodeXL. Le tutorial de Guess WordPress: J'aime chargement…

Connected: The Power of Six Degrees A very rich documentary about the new science of network. It is built around reproducing the “Six degrees of separation” experience. The main concepts are well explained and the history of discoveries is emphasized with many examples and interviews of the researchers. The first part is about small worlds model and explaining why six degrees works. Warning: the video is no longer available, due to right owner’s decision to remove it from vimeo. EDIT: Video available here To go further : Found here. Related Posts: No related posts. Networks ~ how kevin bacon cured cancer Networks six degrees Trackback

LyX | LyX – The Document Processor 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. Network analysis software generally consists of either packages based on graphical user interfaces (GUIs), or packages built for scripting/programming languages. GUI packages are easier to learn, while scripting tools are more powerful and extensible. See also[edit]

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 !) Le plus impressionnant avec cet outil est sa capacité à labourer le web et à accumuler et classer n’importe quel contenu... Bonjour Michel, qui es-tu ? Je suis de formation Ingénieur (Centrale Paris 1988), et ai comme passion et spécialité l’informatique, depuis …. Je débute ma carrière en 1989 chez ACCENTURE où j’interviens en responsabilités croissantes sur d’importants projets de conseil et d’intégration de Systèmes d’information. Qu’est ce que OutWit ? OutWit a fait l’objet d’une distinction par OSEO.

Network Science Course - 2011 1/10 Introduction to Network Science We are surrounded by systems that are hopelessly complex, from the society, a collection of seven billion individuals, to communications systems, integrating billions of devices, from computers to cell phones. Our very existence is rooted in the ability of thousands of genes to work together in a seamless fashion; our thoughts, reasoning, and our ability to comprehend the world surrounding us is hidden in the coherent activity of billions of neurons in our brain. 1/19 Bio – Networks Internet Biological networks are an essence of life. 1/24 Random Graph Theory Networks and graphs: In its simplest form, a network is a set of nodes connected by links. 1/26 Movie Night View The documentary trailer... 1/31 Random Networks (Project discussion) The first basic question we need to answer is the following: if you are given a network, how do you think of it? 2/2 The Small World Its a small world after all. 2/7 Scale Free Networks 2/9 Generating Functions 2/14 Prof.

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