Network Analysis. ‘Network’ is a heavily overloaded term, so that ‘network analysis’ means different things to different people.
Specific forms of network analysis are used in the study of diverse structures such as the Internet, interlocking directorates, transportation systems, epidemic spreading, metabolic pathways, the Web graph, electrical circuits, project plans, and so on. There is, however, a broad methodological foundation which is quickly becoming a prerequisite for researchers and practitioners working with network models. From a computer science perspective, network analysis is applied graph theory. Unlike standard graph theory books, the content of this book is organized according to methods for specific levels of analysis (element, group, network) rather than abstract concepts like paths, matchings, or spanning subgraphs. Its topics therefore range from vertex centrality to graph clustering and the evolution of scale-free networks.
Browse, Upload or Search educational textbooks. Rickshaw: A JavaScript toolkit for creating interactive time-series graphs. Graphing Toolkit Rickshaw provides the elements you need to create interactive graphs: renderers, legends, hovers, range selectors, etc.
You put the pieces together. See Demo → Built on d3.js It's all based on d3 underneath, so graphs are drawn with standard SVG and styled with CSS. JavaScript Image Processing Library. What Pixastic is an experimental library which allows you to perform a variety of operations on images using just a bit of JavaScript.
The effects supported out of the box include desaturation/greyscale, invert, flipping, brightness/contrast adjustment, hue/saturation, emboss, blur, and many more. For the full list, see the documentation page.