  Despite the tremendous advancements in the field of network theory, very few
studies have taken weights in the interactions into consideration that emerge
naturally in all real world systems. Using random matrix analysis of a weighted
social network, we demonstrate the profound impact of weights in interactions
on emerging structural properties. The analysis reveals that randomness
existing in particular time frame affects the decisions of individuals
rendering them more freedom of choice in situations of financial security.
While the structural organization of networks remain same throughout all
datasets, random matrix theory provides insight into interaction pattern of
individual of the society in situations of crisis. It has also been
contemplated that individual accountability in terms of weighted interactions
remains as a key to success unless segregation of tasks comes into play.
