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Anwar al-Awlaki (born April 22, 1971 in Las Cruces, New Mexico) is an American Muslim lecturer, spiritual leader, and former imam believed to be a senior talent recruiter and motivator “for al-Qaeda and all of its franchises.” With a blog and a Facebook page, he has been described as the “bin Laden of the Internet.” He is currently believed to be in Yemen and has been linked to two recent terrorist events (Ft. Hood shooter and the underwear bomber). In this post we’ll analyze Awlaki’s evolution, influence and momentum on the web.
Below we can see his links to these events are evident in the web.
When we analyze al-Awlaki with Recorded Future open source intelligence data we see some interesting trends. Below we see a time-line showing Awlaki’s momentum online (the curved gray line) from June 2009-June 2010. We can see that at the beginning of 2009 Awlaki had very little notoriety on the Internet — was able to gain momentum following two high profile terror incidents, and is currently losing momentum.
On 07APR10 news broke that a C/K order was issued for Awlaki, and one could assume that this is likely a contributor to the drop in his momentum online:
U.S. citizen Anwar Awlaki added to CIA target list
The Obama administration has authorized the CIA to capture or kill the New Mexico-born Muslim cleric believed to be in Yemen. He is thought to have taken on an operational role in terrorist plots…(LA Times)
The Ft. Hood shooting took place on 5NOV09, this was the first time Awlaki was publicly linked to a terrorist incident since 9/11 (when hijackers Nawaf al-Hazmi and Khalid al-Mihdhar arrived in San Diego in mid-2000, they attended a mosque Awlaki ministered at). Even after 9/11 he was not well known enough to garner major media attention or a large following. Note the low momentum between 2001-2006 below.
The above visualizations show momentum (curved line) as well as media sources (stacked bars; red=blogs, blue=mainstream media). We can see that traditional news-media coverage of Awlaki was very high following the Ft. Hood shooting, while his blog coverage was relatively low. However, following the Ft. Hood attack, he picked up significant momentum in the blogosphere heading into DEC09. Awlaki may have gained such momentum because he is one a handful of radical clerics who have the respect of traditional extremists (think bin Laden and crew) while also having the ability to reach out to the English speaking world (as he proved through his talks with Ft. Hood shooter Maj. Nadal Hassan).
On 28DEC09, following consultation with Awlaki, Umar Farouk Abdulmutallab (the underwear bomber) attempted to detonate an explosive device while on-board a flight to Detroit. (See spike below) As the trend line shows, following the attempted airline bombing, traditional media was all over the event; which may have lead to his increase in coverage on the blogosphere for the next 2 months.
He continued to grow in references in blogs throughout March, however, on 07APR10 the United States Government issued the C/K order (a first of it’s kind against a US citizen) for Awlaki. Following the issue of the C/K mission, his traditional media covered increased, while his coverage in blogs decreased (see below). It’s possible this shows the impact of this policy decision and announcement in the press. It’s also likely that those following Awlaki’s activities have realized that they could be targeted for C/K missions or targeted for surveillance. It remains to be seen if he was able to inspire any other terrorist actors, or what will happen to his trend should he be captured or killed.









April 30th, 2010 on 2:36 am
The 10-year view/image is very interesting. It would be ideal to know what events in the 2006 – 2008 time frame led to Awlaki’s prominence as the ‘bin Laden of the internet’ and talent recruiter. Use those events to predict next generation leaders, who can then be discredited or disrupted before they become a real threat.
May 3rd, 2010 on 6:05 pm
Hello Chris,
I agree with Jeff, studying the period prior to the spike in the event horizon may generate good indicators to predict a recurring phenomena as Awlaki.
In addition, a lot can be inferred from the relation between the interest level graphs and external events (i.e – the terror attacks and the C/K order).
If you analyze and group the media and blog populations, you can expose more tel-tale trends. For example, clearer relations between media coverage and hype and blogsphere stature. Your data clearly indicates a cause-effect relation between media and blog attention but is that so?
While media is uni-directional in nature, blogs are interactive networks, so activity can be parsed exposing more complex attributes in the data. For example, as blogs maintain a constant 1% core contributor ration, how much of the blog traffic was centered on how many blogs, how much traffic was positive or negative, what are the blogsphere’s propagation paths to the core Awlaki relevant contributions etc.
If you match such models with additional groupings of the media data, along factors like positive/negative, inflammatory/factual etc., and trolling for links between main media and blog traffic, you can expose influence patterns and even paths and create a baseline profile of the relation/dependency between primary and secondary information sources, or media/blog cause/effect patterns.
I assume such results can be of interest to various parties, so you could easily sell them.
In addition, you could run more complex analysis scenarios, grouping several wannabe blogs with Awlaki and trying to discern from traffic and other indicators, why did Awlaki become an Internet personae and others of similar vocation didn’t…
Finally, please remember somewhere in the back of your cluttered brain the potential quantum effect of recorded futures on knowledge patterns, once you’ve succeeded in becoming the S&P of open-source information mavens. When [not if
] you reach that plateau, every published pattern will affect the behavior of some of your target scenarios and cause a change in their actions and the signals they generate.
But these are future troubles. For now, this example is quite illuminating, and a good jump point to more focused and revealing analysis and predictions.
Keep it up.
Abuguy