This tutorial is intended to collect together my own experiences using the Java NIO libraries and the dozens of hints, tips, suggestions and caveats that litter the Internet. When I wrote Rox all of the useful information existed as just that: hints, tips
The SNA Package, v1.2 This is a fully documented collection of R routines for social network analysis; utilities included range from hierarchical Bayesian modeling of informant accuracy to logistic network regression (with QAP and CUG tests). Quite a
Features
* Easy to use Python API
* Flexible data import options
* Scalable
* Built-in reports
* Built-in data export capabilities
* Open source - easily extended
* Fast processing time (efficient use of graph algorithms)
S. Gutz, A. Story, C. Schlesinger, и N. Foster. Proceedings of the First Workshop on Hot Topics in Software Defined
Networks, стр. 79--84. New York, NY, USA, ACM, (2012)
L. Yaeger. Artificial Life III, Vol. XVII of SFI Studies in the
Sciences of Complexity, Santa Fe Institute, стр. 263--298. Los Alamos, New Mexico, Addison-Wesley, (1993)
K. Taboada, K. Shimada, S. Mabu, K. Hirasawa, и J. Hu. GECCO '07: Proceedings of the 9th annual conference on
Genetic and evolutionary computation, 2, стр. 1758--1758. London, ACM Press, (7-11 July 2007)