  Numerus works that study the spread of information in social networks include
a spreading mechanism in which a set of nodes is initially infected (i.e.
seeded), followed by a viral process, which spontaneously spread the message
through the nodes of the network. These models are used to describe the spread
of rumors as well as the spread of new products and services. In reality
however, it is quite rare that a product or service spreads through a social
networks solely by viral forces. It is more common, that the spreader would
invests a continuous active effort of its sales representatives in order to
enhance the spread. The Latent Viral Marketing Model is a spreading model that
fits this reality. Along the description of the model, the paper continues and
proposes a simple Scheduling of Seeding heuristics, which recommends the node
to seed at each period. A large study of empirical simulations shows that under
a wide range of realistic initial conditions, the Scheduling Seeding method
improves a product adoption rate by 29%-94% in comparison to existing
state-of-the-art seeding methods.
