Using Data to Find Likely Crime Spots

Posted to Statistics  |  Nathan Yau

I stumbled across this article about Aili Malm, a GIS specialist (I think) who uses social network analysis to find the most probably locations of organized crime.

“I look at where organized crime groups are located and I study how these groups are linked to one another,” she explained. “I can chart their cell phone use or e-mail communication or with whom they co-offend. Based on these connections, I try to isolate the important players. Then I take the social and make it spatial. I look at individuals important to the criminal network and map where they live and where they commit their crimes.”

It’s just like that show Numb3rs on CBS. Albeit, math and statistics is a bit glorified on the show, but hey, at least it’s loosely based on reality.

2 Comments

  • There are actually several papers about how social network analysis is being used to find OBL and how to explain the key players during 9/11.

    The biggest source of the exaggeration on Numb3rs involves small sample sizes.

  • oh for sure. I don’t doubt that there’s hundreds of papers about using statistics to find, understand, and fight crime. It’s always nice to see Stat in any kind of news form though :)

Favorites

Watching the growth of Walmart – now with 100% more Sam’s Club

The ever so popular Walmart growth map gets an update, and yes, it still looks like a wildfire. Sam’s Club follows soon after, although not nearly as vigorously.

The Best Data Visualization Projects of 2011

I almost didn’t make a best-of list this year, but as I clicked through the year’s post, it was hard …

A Day in the Life of Americans

I wanted to see how daily patterns emerge at the individual level and how a person’s entire day plays out. So I simulated 1,000 of them.

Think Like a Statistician – Without the Math

I call myself a statistician, because, well, I’m a statistics graduate student. However, the most important things I’ve learned are less formal, but have proven extremely useful when working/playing with data.