v5.1.1

Minor bugfixes

Enterovirus

[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 )

Ebola

[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

Dengue

[Added]

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

Cholera

[Added]

Epidemic Diffusion models

• Generalised Threshold
• SWIR

Chlamydia

[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

Brucellosis

[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

Barmah Forest Virus

Refactored version of the Avian Influenza release.

[Added]

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

Avian Influenza

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