Fig. 2
From: Information cascade final size distributions derived from urn models
The infinite model shows power-law behavior if \(f \lambda =1\). As long as \(f \lambda =1\), the exponent \(\alpha\) is \(-1.5\) regardless of f and \(\lambda\). Left: \(f=200\) and \(\lambda =0.005\). Right: \(f=50\) and \(\lambda =0.002\). The correlation coefficients of \((\log k, \log (P(B_{\tau }=k)))\), \(k\ge 95\), of the two graphs are less than \(-0.999999999\)