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Help studying ideas contagion #25
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Are you talking about multiple ideas competing?
George G. Vega Yon
+1 (626) 381 8171
http://ggvy.cl
…On Wed, Dec 13, 2017 at 2:46 PM, Fabrizio-Marini ***@***.***> wrote:
Hello, I'm working on a corporate social network consisting of about 3000
actors. My dataset contains the contagion of a particular class of ideas
between the actors over time. I'm approaching R and netdiffuseR for the
fist time. My problem is that the adoption of the ideas I want to study is
very variable over time, so much that a person could change it's idea
during a very short period of time. I've just read the previous issue about
disadoption at this link #20
<#20>
I would like to know if there is a way to still use netdiffuseR for this
kind of contagion and if there is any tutorial related to this case.
thank you very much in advance.
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Yes exactly, my situation requires to take into account at least three different states in which a person can be. |
Hey, sorry for the lag.... unfortunately, there's no way of simulating such
phenomena right now using netdiffuseR. I would encourage you to take a look
at EpiModel. That should be flexible enough to do what you need.
Best,
George G. Vega Yon
+1 (626) 381 8171
http://ggvy.cl
…On Thu, Dec 14, 2017 at 3:13 PM, Fabrizio-Marini ***@***.***> wrote:
Yes exactly, my situation requires to take into account at least 3
different states in which a person can be.
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Hello, I'm working on a corporate social network consisting of about 3000 actors. My dataset contains the contagion of a particular class of ideas between the actors over time. I'm approaching R and netdiffuseR for the fist time. My problem is that the adoption of the ideas I want to study is very variable over time, so much that a person could change it's idea during a very short period of time. I've just read the previous issue about disadoption at this link #20
I would like to know if there is a way to still use netdiffuseR for this kind of contagion and if there is any tutorial related to this case.
thank you very much in advance.
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