4: Initialize current walk="WALK-1" 5: for t = 1 to N and not converged do 6: if current walk=="WALK-1" then 8: Update pt(u → v) by equation (4)  9:Update Rt(v) as follows: Set current walk="WALK-2" 11: end if 12: if current walk=="WALK-2" then 13: Update Rv(v) as follows: Set current walk="WALK-1" 15: end if 16: end for 17: end for 18: Sort all v ∈ V by RN (v) in descending order 19: Pick the top-n messages as summary WALK-2 sampling from leader probabilities, it also reduces the risk of including real followers into summary.
this makes it possible to include true leaders misclassified as followers by leader detection module into summary.