About the Book
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 70. Chapters: GNU Octave, Mathematica, MATLAB, Maple, Scilab, Social network analysis software, LabVIEW, EICASLAB, Psychometric software, Sage, List of numerical analysis software, ADMB, Computer Aided Audit Tools, Oracle Data Mining, IDL, Comparison of numerical analysis software, Analytica, Photoanalysis, ADAPA, SekChek Local, VisSim, Microsoft Analysis Services, SekChek Classic, JHepWork, ROOT, Converting scanned graphs to data, Iox acquisition software, Simulink, Environment for DeveLoping KDD-Applications Supported by Index-Structures, Biopac student lab, STATISTICA, INCA, CANape, RapidMiner, PowerLab, Core Security, TinkerPlots, Speakeasy, Truviso, CANoe, Fsc2, Kirix Strata, Q research software, Grapheur, Origin, Jacket, Gretl, Euler, GAUSS, OSIsoft, CANalyzer, DataScene, OpenOpt, SPSS Modeler, MountainsMap, Orange, NCAR Command Language, Imc FAMOS, XLfit, AIDA, FreeMat, LISREL, Talend Open Profiler, MagicPlot, Genius, RQDA, Gmsh, HippoDraw, Java Data Mining, Fityk, Java Analysis Studio, JMathLib, SimplexNumerica, Monarch, Ocean Data View, TANAGRA, Data Applied, Fathom: Dynamic Data Software, OpenScientist, MEX file, Integer Matrix Library, MTAB, RGL. Excerpt: Social network analysis software (SNA software) facilitates quantitative or qualitative analysis of social networks, by describing features of a network, either through numerical or visual representation. Networks can consist of anything from families, project teams, classrooms, soccer teams, legislatures, nation-states, disease vectors, membership on networking websites like Twitter or Facebook, or even the Internet. Network features can be at the level of individual nodes, dyads, triads, ties and/or edges, or the entire network. For example, node-level features can include network phenomena such as betweeness and centrality, or individual attributes such as age, sex...
