springer-math Mathematics-of-Epidemics-on-Networks issues

springer-math / Mathematics-of-Epidemics-on-Networks

Source code accompanying 'Mathematics of Epidemics on Networks' by Kiss, Miller, and Simon http://www.springer.com/us/book/9783319508047 . Documentation for the software package is at https://epidemicsonnetworks.readthedocs.io/en/latest/

MIT License

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issues

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cannot define both initial_recovereds and rho

#50 leotrs opened 4 years ago
3
Improve ``hierarchy_pos``

#49 joelmiller opened 4 years ago
0
The homogeneous SIS and SIR models do not have `from_graph` versions.

#48 joelmiller opened 4 years ago
0
minor copy edits

#47 labarba closed 4 years ago
0
Add transmissions and transmission_tree example

#46 joelmiller opened 4 years ago
0
Functional tests for eon

#45 CWiswell-IDM closed 4 years ago
2
Adding related work and refs to paper

#44 hagberg closed 4 years ago
1
Functional testing

#43 hagberg closed 4 years ago
1
Can the "Cooperative diseases" example type model be implemented considering complex contagion?

#42 Kamol-Roy opened 5 years ago
3
Update paper.md

#41 kyleniemeyer closed 5 years ago
0
Why isn't there a ``discrete_SIS``

#40 joelmiller opened 5 years ago
0
Look into using sortedcontainers in Gillespie code

#39 joelmiller closed 5 years ago
2
Visualizing SIRV model

#38 debmalya191 closed 5 years ago
2
SIRV model

#37 debmalya191 closed 5 years ago
0
Transmissions in full_data code

#36 debmalya191 closed 5 years ago
2
Discrete SIR with variable Tr and B

#35 debmalya191 closed 5 years ago
2
Steady state calculations

#34 debmalya191 opened 5 years ago
2
node_status error

#33 debmalya191 closed 5 years ago
1
Add example with variable susceptibility

#32 joelmiller closed 5 years ago
3
EoN users please introduce yourselves

#31 joelmiller opened 5 years ago
8
Some sort of simulation investigation thing for the arbitrary methods?

#30 joelmiller opened 5 years ago
0
Add SEIR code

#29 joelmiller closed 5 years ago
1
Speed up Gillespie_Arbitrary

#28 joelmiller opened 5 years ago
0
Allow the simulations to take in an input of upcoming events

#27 joelmiller opened 5 years ago
0
Create nonMarkovian arbitrary transitions function

#26 joelmiller opened 5 years ago
0
EoN.Gillespie_Arbitrary is not implemented for python 3.6. It runs ok in python2 and python3.5. Its because nx.Digraph returns list in edges() function in python3.6.

#25 Kamol-Roy closed 5 years ago
5
interactive visualization:

#24 joelmiller opened 5 years ago
1
find the source node of the network

#23 vermouthdky opened 5 years ago
0
random seeds

#22 joelmiller opened 5 years ago
17
In full data, return who transmitted to whom when

#21 joelmiller closed 6 years ago
0
Pair-approximation example

#20 shenii opened 6 years ago
2
Appears there is no homogeneous_meanfield_from_graph

#19 joelmiller closed 6 years ago
1
`get_statuses` should default to all nodes

#18 joelmiller closed 6 years ago
0
Add SEIR models

#17 joelmiller closed 6 years ago
0
add animation

#16 joelmiller closed 6 years ago
3
add R0 to functions

#15 joelmiller closed 6 years ago
1
name consistency for fast_SIR and basic_discrete_SIR_epidemic

#14 joelmiller closed 6 years ago
1
multiple strains

#13 joelmiller closed 6 years ago
1
Add method to give all statuses at given time

#12 joelmiller closed 6 years ago
2
improve fast SIR

#11 joelmiller opened 7 years ago
0
add nonMarkovian SIS simulation

#10 joelmiller closed 6 years ago
0
Mistakes in book (report minor issues here)

#9 joelmiller opened 7 years ago
4
link to errata

#8 joelmiller closed 7 years ago
0
Example for figure 3.2 is incomplete

#7 joelmiller closed 7 years ago
1
Add initial recovered to all SIR versions.

#6 joelmiller opened 7 years ago
1
Add setup.py

#5 joelmiller closed 7 years ago
1
get pip to work

#4 joelmiller closed 7 years ago
2
Documentation: provide markdown for examples, rather than just .py files.

#3 joelmiller closed 6 years ago
0
Create Gillespie code for weighted networks

#2 joelmiller closed 6 years ago
0
Add example with bipartite

#1 joelmiller closed 6 years ago
0

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