Can an algorithm predict terror attacks? Scientists create new method of mining social media to anticipate Isis' next move

A computer algorithm that can identify patterns in the social media activity of Islamic State supporters could provide clues about where terrorist attacks are likely to occur. Scientists have found they can spot distinct behavioural patterns in the interactions between groups on social media, and it could even help them predict'lone wolf' attacks'. Social media has been a key tool for organisations like Isis to help them recruit supporters and coordinate their activities. Scientists at the University of Miami have used equations used in physics and chemistry to track the constantly shifting behaviour of supporters of Isis (Isis flag pictured). While law enforcement authorities have attempted to keep track of Isis members using social media, they have tended to focus on monitoring the posts made by individuals.