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 front-end that integrates network analysis into Microsoft Office and Excel.
Snap.py is a Python interface for SNAP. It provides performance benefits of SNAP, combined with flexibility of Python. Most of the SNAP C++ functionality is available via Snap.py in Python.
A collection of more than 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.
We will give a tutorial on Representation Learning on Networks at The Web Conference in Lyon, France, on April 24, 2018.
We are organizing Wiki Workshop at The Web Conference in Lyon, France, on April 24, 2018.
Papers on the structure and evolution of large networks, models to think about them and algorithms to computationally analyze the network structure.
Tutorials on using SNAP, on methods to analyze large network data, on ways how to think about networks and how to model them at the level of network structure, and on methods to study evolution and dynamics of diffusion and cascading behavior in networks.
- Tutorial on Representation Learning on Networks will be held at The Web Conference in Lyon, France, on April 24, 2018. More info.
- Tutorial on Malicious Behavior on the Web: Characterization and Detection was held at WWW2017 conference, Perth, Australia, April 3, 2017. More info.
- Tutorial on Large Scale Network Analytics with SNAP was held at WWW-15 conference, Florence, Italy, May 18, 2015. More info.
- Tutorial on Large Scale Network Analytics with SNAP was held at ICWSM-14 conference, June 2014. More info.
- Tutorial on Social Media Analytics was held at ACM SIGKDD conference, August 2011. More info.
- Tutorial on Analytics & Predictive Models for Social Media was held at the ACM WWW ‘11 conference. More info.
Workshop on MIS2: Misinformation and Misbehavior Mining on the Web was held at WSDM 2018.
Workshop on Wikipedia, a Social Pedia: Research Challenges and Opportunities was held in conjunction with ICWSM 2015.
Workshop on Frontiers of Network Analysis: Methods, Models, and Applications was held in conjunction with Neural Information Processing Systems conference (NIPS 2013).
3rd Stanford Conference on Computational Social Science.
Workshop on Social Network and Social Media Analysis: Methods, Models and Applications was held in conjunction with Neural Information Processing Systems conference (NIPS 2012).
Workshop on Networks Across Disciplines in Theory and Applications was held in conjunction with Neural Information Processing Systems conference (NIPS 2010).
Workshop on Social Media Analytics was held in conjunction with the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2010).
Analyzing Networks and Learning with Graphs was held in conjunction with Neural Information Processing Systems conference (NIPS 2009).