0
$\begingroup$

The relationship here means: the occurrence of one time series increase(boost) or decrease(suppress) the values of another time series.

Is there any statistical model or method that can do this kind of task?

Specifically, I have two time series, which is the number of retweets of two different memes(hashtags) at different time. I want to know if the existence of one meme has some influence on the other meme? The influence can be promoting the other one or suppressing.

I did find a model in ecology, which is the Lotka–Volterra equations. But it seems it does not provide a effective algorithm to determine this types of relationship.

$\endgroup$
  • $\begingroup$ Can you say more about your situation, your data, & your goals? $\endgroup$ – gung Nov 7 '15 at 6:01
  • $\begingroup$ @gung The post has been updated. $\endgroup$ – Shuai Zhang Nov 7 '15 at 7:21

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.