Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.
Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
Start Free Trial
Auth0 B2B Essentials: SSO, MFA, and RBAC Built In
Unlimited organizations, 3 enterprise SSO connections, role-based access control, and pro MFA included. Dev and prod tenants out of the box.
Auth0's B2B Essentials plan gives you everything you need to ship secure multi-tenant apps. Unlimited orgs, enterprise SSO, RBAC, audit log streaming, and higher auth and API limits included. Add on M2M tokens, enterprise MFA, or additional SSO connections as you scale.
The goal of this project is to provide a Content Provider plugin for the iQser GIN Platform (www.iqser.com) as a semantic middleware to synchronize and transform data objects of LinkedIn for integration and analysis requirements.
The goal of this project is to provide a free Content Provider plugin for the iQser GIN Platform (www.iqser.com) as a semantic middleware to synchronize and transform data objects from Facebook for integration and analysis requirements.
CDTB is a MATLAB toolbox which performs Community Detection
We present the Community Detection Toolbox (CDTB), a MATLAB toolbox which can be used to perform community detection. The CDTB contains several functions from the following categories.
1. graph generators;
2. clustering algorithms;
2. cluster number selection functions;
4. clustering evaluation functions.
Furthermore, CDTB is designed in a parametric manner so that the user can add his own functions and extensions.
The CDTB can be used in at least three ways. The user can employ...
SONIVIS:Tool aims at analysing social (virtual) information spaces like Wikis. These spaces are investigated by using different network definitions (collaboration/information networks). Clustering algorithms and statistiscal analyses are provided.