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| author | Thibaut Horel <thibaut.horel@gmail.com> | 2015-03-30 13:51:10 -0400 |
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| committer | Thibaut Horel <thibaut.horel@gmail.com> | 2015-03-30 13:51:10 -0400 |
| commit | 842a1685a5fcf9545cc3ef0e79b4ab67781d9ab9 (patch) | |
| tree | 19f91cb9ee830b73696575f6b9b52c8190ccf691 /paper | |
| parent | 1c7ad85bbc751bae7cc2e110db5cd6936a2b3816 (diff) | |
| download | cascades-842a1685a5fcf9545cc3ef0e79b4ab67781d9ab9.tar.gz | |
Fix minor typo and formulation
Diffstat (limited to 'paper')
| -rw-r--r-- | paper/rebuttal.txt | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/paper/rebuttal.txt b/paper/rebuttal.txt index 7e13878..0911224 100644 --- a/paper/rebuttal.txt +++ b/paper/rebuttal.txt @@ -64,7 +64,7 @@ This is an interesting point. However, in the problem we study the graph is unknown to us. Suppose that two cascades start at the same time at two very different points in the graph. Despite the fact that the infected nodes from each cascade will not overlap, we cannot in practice attribute an infected node -to either cascade because this information is hidden to us. +to either cascade because we don't know which source is closer to it. " Running time is not discussed here. @@ -76,7 +76,7 @@ comparison of running times can be be included. " The inference in discrete time, one-time-susceptible contagion -processes is less interesting and easier than the continuos version. +processes is less interesting and easier than the continuous version. " This is an interesting point. We note that the generalized cascade model class is sufficiently flexible to include multiple-time-susceptible contagion |