# Changes from v 1.0¶

## New in v 1.0.8¶

Bug fixes in basic_discrete_SIS.

Changed the discrete SIS and SIR code so that the initial infections occur at t=-1 for the simulation_investigation objects.

## New in v 1.0.7¶

No changes (fixing an error in a tag)

## New in v 1.0.6¶

Documentation for Gillespie_complex_contagion now includes an example.

Removed print command (left over from debugging) from Gillespie_complex_contagion.

## New in v 1.0.5¶

Reintroduced Gillespie_Arbitrary which just calls Gillespie_simple_contagion and provides a warning that it will be discontinued later.

## New in v 1.0.4¶

Gillespie_complex_contagion which can handle complex contagions.

The old Gillespie_Arbitrary has been renamed Gillespie_simple_contagion. I have fixed a bug in previous versions that prevented it from handling weighted graphs.

Gillespie_Arbitrary is now back-compatible to networkx 1.11 (but it has been renamed).

Readthedocs is now providing documentation for each function.

## New in v 1.0.3¶

No changes to package, but a small change attempting to get readthedocs to correctly build.

## New in v 1.0.1¶

### Returning transmission chains¶

When simulations have return_full_data=True, the returned object now includes information on who infected whom at each time. This can be accessed through:

transmissions which returns a list of tuples (t,u,v) stating that node u infected node v at time t.

transmission_tree which returns a directed multi graph where an edge from u to v with attribute ‘time’ equal to t means u infected v at time t.

(note that in an SIS epidemic, this “tree” may have cycles and repeated edges)

Currently this does not accept return_full_data=True, and it requires that the events all occur as Poisson processes (that is, it makes sense to say that there is a rate at which things happen, and that rate depends on the status of the nodes and perhaps some property of the node or the partnership, but nothing else).