NodeXL uses the "SNAP" library to calculate metrics. See: http://snap.stanford.edu/
Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library. It is written in C++ and easily scales to massive
networks with hundreds of millions of nodes, and billions of edges. It efficiently manipulates large graphs, calculates structural properties, generates regular and random graphs, and supports attributes on nodes and edges. SNAP is also available through the NodeXL which
is a graphical frontend that integrates network analysis into Microsoft Office and Excel.
A collection of about 50 large network datasets from tens of thousands of nodes and edges to tens of millions of nodes and edges. In includes social networks, web graphs, road networks, internet networks, citation networks, collaboration networks, and communication
networks.
Tutorial on Social Media Analytics to be held on August 21 2011 at ACM SIGKDD conference, August 2011. More
info.
Talks and tutorials on methods to analyze large network data and ways how to think about networks and how to model them at the level of network structure, evolution and dynamics of diffusion and cascading behavior in networks.
Papers on the structure and evolution of large networks, models to think about them and algorithms to computationally analyze the network structure.
Events
Workshop on Social Network and Social Media Analysis: Methods, Models and Applications held in conjunction with Neural Information Processing Systems conference (NIPS
2012).
Tutorial on Social Media Analytics to be held on August 21 2011 at ACM SIGKDD conference, August 2011. More
info.
Tutorial on Analytics & Predictive Models for Social Media at the ACM WWW '11 conference.
Workshop on Networks Across Disciplines in Theory and Applications held in conjunction with Neural Information Processing Systems conference (NIPS 2010).
Workshop on Social Media Analytics held in conjunction with the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2010).
Analyzing Networks and Learning with Graphs held in conjunction with Neural Information Processing Systems conference (NIPS 2009).
