  Crisis informetrics is considered to be a relatively new and emerging area of
research, which deals with the application of analytical approaches of network
and information science combined with experimental learning approaches of
statistical mechanics to explore communication and information flow, robustness
as well as tolerance of complex crisis networks under threats. In this paper,
we discuss the scale free network property of an organizational communication
network and test both traditional (static) and dynamic topology of social
networks during organizational crises Both types of topologies exhibit similar
characteristics of prominent actors reinforcing the power law distribution
nature of scale free networks. There are no significant fluctuations among the
actor prominence in daily and aggregated networks. We found that email
communication network display a high degree of scale free behavior described by
power law.
