Kretschmer complex degree centrality and confidence interval estimation implementation for validating user reports on integrated disaster portal and social media application

Reporting a disaster is important for managing disasters. It is related to how a response is made to face an incident. However, a time which is consumed by a process of report validating can be too long if a conventional way is used. The problem which is related to a disaster reporting happens when a required time which is needed by a fire department to make a response cannot be fulfilled. To solve this problem, the authors design an integrated application between a social media application and a disaster management application to fulfill that requirement. An alternative tool is used like inputs which are came from a social media community, such as a Twitter. Two methods are used to find parameters such as a threshold value and minimal inputs for disaster reporting. The first method is Confidence Interval Estimation which is used to find minimal inputs for disaster reporting. The second method is Kretschmer Complex Degree Centrality which is used to find a threshold value for user report validation. On this research, the authors is going to perform an input validation from users in a required time which is needed by fire department to respond. The goal is to prove that inputs which are come from a social media community can be used as an alternative disaster reporting and can fulfill a required time which is needed by the fire department to respond.