v2.3.0

Added features:

• sample_many_runs is now able to print progress using verbose=True

v2.2.0

Added features:

• added some functions for sampling states

v2.1.0

Added features:

• enforcing no isolates in the Erdos Renyi generator for faster generation

v2.0.0

Changes:

• file reorganization (may break imports)
• stochastic approximation of opinion shares

v1.4.2

Changes:

• fixed bug with sample_many_runs that used the same rng for each subprocess

v1.4.1

Changes:

• fixed rng parameter of sample_many_runs
• improved performance of Bianconi-Barabasi generator

v1.4.0

Changes:

• added Generator for Bianconi-Barabasi random networks

v1.3.0

Changes:

• Replaced log complexity sampling with O(1) sampling via Alias method. This makes the previous version of the const complexity simulation obsolete.

v1.2.0

Changes:

• A Numpy random number generator can now be specified everywhere random sampling happens. This enables reproducibility of model simulations.

v1.1.0

Changes:

• New methods of CNVM: simulate_const_complexity and simulate_log_complexity allow to choose which of the equivalent update algorithms is used.