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Dear Members of the SocNet List,
I am looking for any papers
that have computed correlations or regressions of popular centrality
network measures like closeness, degree, eigenvector or betweeness and
the actual transmission of information.
So for example I might have
a) a network of friendships of peole and
b) I might have a network that has an arc if a person has
forwarded information from a person.
If I compute a network
regression of the actors degree in the friendship network and the number
of how often his information was forwarded I can see how useful the
centrality measures actually are in predicting future information
diffusion for an actor.
I have tried that a couple of times on online friendship networks
and the regression usually ends up having an explanation from common
centrality measures are around 30%. I am wondering if there are similar
attempts out there in order to compare my values and my approach?
I think this question is highly relevant because it actually asks if the centrality measures we use every day to highlight certain actors in information diffusion are really usefull.
I can also think of computing different measures for brokers between two communities and the actual transmission or strong ties and their influence on the actual transmission.
St. Gallen, Switzerland
Tel +41 71 224 27 47
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