Singal Flow Analysis (SFA)

SFA is a simulation framework, which provides useful data structures and functions for efficiently analyzing signal flow in complex networks.

Features

• Convenient data structures for analyzing multiple datasets with multiple algorithms.

• Support for visualizing simulation results and signal flow.

• Parallel simulations using multiprocessing.

• User-defined algorithms or datasets.

Documentation

• Install
• Tutorials
  • Signal flow analysis
  • Discovery of control targets
• Data
  • Defining a new data with network structure
  • Defining a new data for validating algorithm
• Algorithm
  • Defining a new algorithm
• Control
• Visualization
• Simulation
  • Randomizing network structure
  • Randomizing link weights
  • Multiple algorithms vs multiple datasets
  • Parallel processing
• Development
• sfa
  • setup module
  • sfa package

Indices and tables

• Index

• Module Index

• Search Page