One problem with studying networks is the huge amount of data generated. But what if you just studied the active members of a network, thus reducing significanty the data that hs to be crunched? Would it be reliable? In some cases, yes. "The partial network has several basic topological parameters that correlate with activity parameters of the entire social network and, hence, make it suitable for depicting the dynamic parameters of the huge network." There's a risk, though. By definition, for example, dropouts would no longer be counted in, say, MOOC statistics, effectively eliminating dropout rates as a measure. But then again, that might not be a bad thing.
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