Ndlib Versions Save

Network Diffusion Library - (for NetworkX and iGraph)

v5.1.1

2 years ago

Minor bugfixes

v5.1.0

3 years ago

[Added]

  • ICE model (@letiziam )
  • ICP model (@letiziam )
  • ICEP model (@letiziam )
  • UTLDR model (@GiulioRossetti )
  • SEIR/SEIS continuous-time implementation (@ggrrll )
  • Continuos Node States support in Compartment Models (@Tensaiz )

v5.0.0

4 years ago

[Added]

  • Native (transparent) support for python-igraph network objects [only static models]
  • Opinion Evolution viz (Algorithmic Bias & Continuous state models)

[Modified]

  • 'percentage_infected' model parameter has been changed in 'fraction_infected' (the former still works but is deprecated and will be removed in v.6.0.0)

[Fixed]

  • SI/SIR/SIS models probability evaluation. Now it is possible to decide whether, given a node, the transition probability is evaluated once per iteration or per infected neighbor

v4.0.0

6 years ago

[Added]

  • Custom Model definition (static/dynamic)
  • Diffusion Compartments
  • NDQL: Network Diffusion Query Language
  • NDQL_translate, NDQL_execute command line tools

v3.1.0

6 years ago

[Added]

Epidemic Diffusion models

  • Generalised Threshold
  • SWIR

v3.0.0

6 years ago

[Added]

  • Full support to Python 2.7.x/3.x
  • Support for Dynamic Graphs (integration with dynetx)
  • Epidemic Diffusion Models on Dynamic Graphs
    • DynSI
    • DynSIS
    • DynSIR

2.1.0

6 years ago

[Added]

  • SEIS and SEIR models
  • Parallel multiple executions support
  • Diffusion trend visualization facilities (matplotlib)
  • Support for comparison plots (matplotlib)

[Updated]

  • Profile and ProfileThreshold models definitions

v2.0

7 years ago

Refactored version of the Avian Influenza release.

[Added]

  • Standard model configuration object
  • Support for automatic model parameter checking
  • Diffusion trend visualization facilities (Bokeh)

1.0

7 years ago

First release of ndlib. 13 models implemented: 8 epidemics, 5 opinion dynamics.