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Start [Pajek Wiki]

Start [Pajek Wiki]
This Wiki is about program Pajek and (large) network analysis and visualization. Most of its content is provided by authors of Pajek and the Wiki users can only read it. The logged-in users can create/edit pages in Questions and Answers area and in User's Comments area. They can also join the Pajek mailing list and discuss their ideas or problems on it. To login you need a user name and a password. To get them you click on login in the toolbox and then register - the password will be sent to you by e-mail. The rules for writing Wiki pages are described on Syntax page. Some trusted users will be promoted to writers. edit: writer at the bottom of the page - such as for example events, introduction and selected topics. Back to top

http://pajek.imfm.si/doku.php?id=start

Related:  Network ScienceSocial Network AnalysisOutils d'analyse du corpus

spheres spheres [ english | español | portugués ] Spherical Surface of Dialogue Spheres shaped by dialogue, a net of semantical combinations. The richness of words consists in their relations with one another. Protovis Protovis composes custom views of data with simple marks such as bars and dots. Unlike low-level graphics libraries that quickly become tedious for visualization, Protovis defines marks through dynamic properties that encode data, allowing inheritance, scales and layouts to simplify construction. Protovis is free and open-source, provided under the BSD License. It uses JavaScript and SVG for web-native visualizations; no plugin required (though you will need a modern web browser)!

Math algorithm tracks crime, rumours, epidemics to source (Phys.org) -- A team of EPFL scientists has developed an algorithm that can identify the source of an epidemic or information circulating within a network, a method that could also be used to help with criminal investigations. Investigators are well aware of how difficult it is to trace an unlawful act to its source. The job was arguably easier with old, Mafia-style criminal organizations, as their hierarchical structures more or less resembled predictable family trees. In the Internet age, however, the networks used by organized criminals have changed. Innumerable nodes and connections escalate the complexity of these networks, making it ever more difficult to root out the guilty party. EPFL researcher Pedro Pinto of the Audiovisual Communications Laboratory and his colleagues have developed an algorithm that could become a valuable ally for investigators, criminal or otherwise, as long as a network is involved.

GraphChi Disk-based large-scale graph computation Introduction GraphChi(huahua) is a spin-off of the GraphLab(rador) project. GraphChi can run very large graph computations on just a single machine, by using a novel algorithm for processing the graph from disk (SSD or hard drive). Navicrawler UPDATE: There now a portable version of Firefox with Navicrawler included: More information on these: These folders are zipped. Unzip and run “Firefox Portable”.

Numerical Algorithms Group IRIS Explorer is NAG's powerful tool for developing customized visualization applications. Its visual programming environment enables you to develop, prototype and build these applications quickly and easily. IRIS Explorer, with its broad range of visualization techniques, from simple graphs to multidimensional animation, enables you to readily discern trends and relationships in your data. IRIS Explorer is a standards-based package that utilizes the Open Inventor™, ImageVision™ and OpenGL™ libraries, together with NAG's world-class numerical libraries. It is available on a broad range of Windows PC, Unix and Linux platforms. Its easy to use point-and-click interface means that users spend less time programming and developing customized visualization applications.

New research to uncover nuances of networks Feb. 20, 2013 9:01 a.m. When a species disappears from a region, the rest of the ecosystem may flourish or collapse, depending on the role that species played. When a storm rolls across the coast, the power grid might reconfigure itself quickly or leave cities dark for days. A snowstorm might mean business as usual in a hardy city and a severe food shortage in another, depending on the distribution strategies of residents. Each of these systems is a kind of network, with thousands of members and relationships linking them.

Social Network Analysis About the Course Everything is connected: people, information, events and places, all the more so with the advent of online social media. A practical way of making sense of the tangle of connections is to analyze them as networks. In this course you will learn about the structure and evolution of networks, drawing on knowledge from disciplines as diverse as sociology, mathematics, computer science, economics, and physics. 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.

Piccolo Home Page A Structured 2D Graphics Framework Welcome to Piccolo! A revolutionary way to create robust, full-featured graphical applications in Java and C#, with striking visual effects such as zooming, animation and multiple representations. US Military Scientists Solve the Fundamental Problem of Viral Marketing Viral messages begin life by infecting a few individuals and then start to spread across a network. The most infectious end up contaminating more or less everybody. Just how and why this happens is the subject of much study and debate. Network scientists know that key factors are the rate at which people become infected, the “connectedness” of the network and how the seed group of individuals, who first become infected, are linked to the rest.

Text Network Analysis Text network analysis allows one to quickly visualize the meanings and agendas present within a text, live conversation, broadcast, or interview. Our method is different to semantic network analysis. Instead, we focus predominantly on the relationships and clusters of meaning present within the text, uncovering what we call the pathways for meaning circulation

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