Data mining social media networks for terrorist events indicators.

摘要

Social media has given us the opportunity to tap into the collective conscience of the Internet and to use that knowledge to enhance national security. Our goal is to establish a significant relationship between social media and terrorist events and to show that an automated system can be created to monitor it. Statistical analysis and data mining techniques were performed on 62 million user-created documents and the events listed on the global terrorism database. We have found a significant relationship among fatalities, injuries and attacks and specific terms used in the documents. The existence of the relationship varied depending on the country that was under scrutiny. This research shows an effective way of retrieving and analyzing relevant terrorist events information out of incremental and varied social datasets. Information gathered should be used to develop strategies to diffuse or prevent future terrorist attacks.