  Individual and community psychology plays an important role in disaster
management as human behavior exhibit diverse risk perceptions, recognition of
the threats that exists, positive and negative emotions, panic, anger, rumor,
stress and learned helplessness. These psychological factors are important as
lack of attention to these can lead to detrimental outcome of disaster
management effort. Disaster psychology has been seen as an emerging area of
research and practice which deals with understanding of the psychological
impact of individuals and community aftermath of the disasters. The aim of this
paper is to put forward the conceptualization and development of dynamic
networked psychology as a theoretical framework and its implications in
exploring emotional contagion during disasters. We advocate theories of
structural network dynamics can be used to construct DNP for exploring
individuals as well as community coping mechanisms for improving preparedness,
response and recovery of disasters. The advent of computational social science
promotes the empirical modelling and analysis of massive volume of user data by
inferring meaningful patterns for finding answers to important social and
behavioral science research questions dealing with individual and community
coping ability. In presenting a theoretical framework, we suggest that the
underlying assumptions and integration of theories of social influence can be
used to explore networks of emotional contagion for disasters.
