Abstract—Call data generated from mobile phones reflect a
social network structure. Analyzing the topology, behavior and
dynamics of such networks is one of the prevailing interests
in network science. We propose to analyze call networks as
a spatio-temporal evolutionary stream. Initially, we explored
some of the dynamics of call activity in evolving call networks.
To overcome the space and time limitations of analyzing
massive call networks, we made use of sampling algorithms
to generate samples in real-time. We also discussed sampling
at a precise level of socio-centric and ego-centric network. We
delineated and evaluated some sampling methods and algorithms.
Analyzed the properties of evolutionary call network
and proposed some potential contributions in the realm of
sampling and exploring activity patterns. We also discussed
some prospective aspects of influence analysis such as family
influence.