Modeling the evolution of post disaster social awareness from social Web sites

With the rapid growth of information and communication technologies, varieties of social media and web based social networks are rapidly emerging. The vast amount of information quickly spreading through social networks provides tremendous challenges and opportunities for researchers trying to gain insight into patterns of human interaction and collective behavior. In this work a computational framework for modeling the evolution of social awareness after an event of manmade or natural disaster by analysis of social media data is proposed. Here we examined the evolution of the social dynamics, sentiment, opinion and views of the people after a major event from web blog messages and tried to build a model of the behavioral pattern by swarm intelligence, a computational intelligence technique. A simple simulation experiment has been done with facebook and blog messages after Mumbai terrorist attack in India in 2011.