I am trying to get a graph that has power-law probability distribution P(k) := k^ (-alpha)
I realize that in ba.game the above alpha is not the same as the 'power' parameter which controls the preferential attachment (I noticed that a power of 1 gives an alpha of ~2). Am I missing a mechanism that would give me a graph that has a final degree distribution as above by controlling alpha, for example a logarithmic slope of -
2.5, -2.1 or -3 ?
ba=ba.game(10000,power=1) plotsf(ba,-.5) # -.5 for adjustment for Inf values in computing log
# this returns a slope of -2 ba2=ba.game(10000,power=2) plotsf(ba2,-.5) # returns a slope of -0.6 but what control know would get me a slope of -2.5 or -3, ...?