Given a graph
G , a deadline
td(u) and a time-dependent
threshold f(u,t) for every vertex
u of
G , we study sequences
C=(c0,c1,…) of 0/1-labelings
ci of the vertices of
G such that for every
t∈N, we have
ct(u)=1 if and only if either
ct−1(u)=1 or at least
f(u,t−1) neighbors
v of
u satisfy
ct−1(v)=1. The sequence
C models the spreading of a property/commodity within a network and it is said to converge to 1 on time, if
ctd(u)(u)=1 for every vertex
u of
G , that is, if every vertex
u has the spreading property/received the spreading good by time
td(u).
We study the smallest number irr(G,td,f) of vertices u with initial label c0(u) equal to 1 that result in a sequence C converging to 1 on time. If G is a forest or a clique, we present efficient algorithms computing irr(G,td,f). Furthermore, we prove lower and upper bounds relying on counting and probabilistic arguments. For special choices of td and f , the parameter irr(G,td,f) coincides with well-known graph parameters related to domination and independence in graphs.