Abstract:
Social influence is the science that study how to change people’s thoughts, feelings or behaviors
accompanied with Social Network Analysis (SNA) where it’s important for Mapping and measuring of
relationships and flows between people, groups etc. The problem of this research is influence and
information diffusion. The methods are used in this work are Linear Threshold Model (LTM) and
Independent Cascade Model (ICM) by use dataset (network): page facebook, this network depends on its
structure (size, type, diameter, density, components) and the type of the relationships (explicit). Networks
metrics and visualization were manipulated by Gephi as well. Ultimately, our experimental results show
that the selection of initial set of nodes affects significantly the diffusion process, and (LTM) model gives
more nodes active than (ICM) model.
