# Time series and social network analysis

I am interested about plotting graphs of a phenomenon and study it using tools from social network analysis.
Suppose the nodes are time series, and that the links between the nodes are the correlation between them. The first issue I have is how to compute the correlation between the nodes. For instance, between two nodes (i.e., between two time series) there may be a lag-0 correlation term, and/or some other lag-n correlation coefficients. Is there a way to get one single number from this? After all, I only want to have one link between two nodes, as multiple links would make the analysis more difficult.

Has any work been done in the literature in this sense, i.e., studying correlation of time series from a social network analysis perspective?

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Can you give an example of the nodes time series? Are these clicks on a social media site? Events of some kind? Where does the input data come from? – Assad Ebrahim Dec 17 '12 at 23:37
a node is a time series. For example, a node may represent the temperature at a particular location, and you want to connect two nodes if there is a correlation between the two time series. The question is how to combine these two time series because, in general, you have correlation at different lags. – ACAC Dec 17 '12 at 23:48
Wouldn't this be a percolation theory problem? Or, rather, isn't this just percolation theory in general? Ah, nevermind, I read your second sentence wrong! – Emily Dec 18 '12 at 19:12