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Big Data: By How Many People Are We Separated On This Planet?

Intel Data Center GPU codenamed Crescent Island architectural slide showcasing Xe3P AI optimized GPU IP, up to 480GB LPDDR5x memory capacity, and a 350W air-cooled PCIe form factor.
Intel’s Crescent Island GPU targets AI inference economics by prioritizing massive LPDDR5x memory capacity over costly HBM architectures within a practical 350W air-cooled design.

“Everybody on this planet is separated by only six other people. Six degrees of separation. Between us and everybody else on this planet.”

Have you heard about this quote before? This isn’t hot news as it is an old quote going back to 1929. However, Facebook released a new data science research study this week that shows that we are only separated by 3.57 degrees!

In the data age, we are leaving data traces everywhere which are establishing pico-moments that companies are using to personalize real-time contextual offers for us. This is happening as we connect and interact with more people, places, and “things” around us. With the advent of social networking tools, we shifted from mass communication to mass listening and we’ll witness soon the “Contextual Communication (Of Everything)”. However, I’ll explore this term in a later post. 

In the 1960’s psychologist Stanley Milgram conducted the Small World Experiment to test the six degrees of separation theory. Milgram’s Experiment began by sending 160 packages to randomly selected individuals in Omaha, Nebraska. The participants were instructed to deliver the package to a specific person in Boston. Each participant sent a package to a person they knew on a first-name basis who would have the best chance of completing the task. That person would then continue the chain by forwarding the package to someone who they believed could complete the task. The experiment was repeated in different cities and it concluded that there are about 5 or 6 exchanges between people. Thus, it proved the Six Degrees of Separation theory. 

Besides, Milgram’s experiment was repeated in 2003 by Peter Dodds, Roby Muhamad, and Duncan Watts. They conducted an email experiment study by consolidating over 60,000+ email users and 24,163 message chains to find 18 target people in 13 different countries by forwarding messages to friends. The experiment’s results were similar to those of Milgram’s experiment in that it found most chains to consist of an average path length of 4.0.

Eight years ago, Microsoft proved the theory that states that everybody on this planet is separated by six other people. It developed this study by analyzing 30 billion electronic conversations in the obsolete MSN Messenger.

In the Data age, six degrees of separation is no longer valid according to Facebook. They just released a new study today by crunching Facebook’s friend graph data and showed that we are only separated by 3.57 degrees. You can even get your degree. Mine is 3.2:degrees of separation

It’s great to keep note that such network science techniques are not only limited to social networks but can be used in industries like Telecoms, Banking, Retail, and healthcare etc… With current data science technologies, companies can use graph analytics technologies in information diffusion and calculation of the shortest path to propagate their marketing messages and target relevant influencers in real-time.

What do you think about this study? How would Data Science change the way we communicate and navigate the world better?

Ali Rebaie is a principal analyst at Rebaie Analytics Group. He is also a prominent blogger and keynote speaker. A data science anthropologist, and phenomenologist, Rebaie has been studying the impact of data patterns that govern changes in business, human affairs, and culture. His research, keynotes, and consulting help data natives and business executives to draw power from these universal patterns to better understand its impact on people and the role each one of us play in the data era.

As a part of his work at Rebaie Analytics Group, Rebaie has led and developed several data-driven strategies for different industries such as media, marketing, retail, oil & gas, public sector, and transportation to help them become competitive in the new economy. Ali has contributed and quoted in leading technology and media outlets including WIRED, CIO, Yahoo, Computer World etc...

Ali also appeared in several lists of "Who's Who in Big Data" and as one of the top 100 big data influencers worldwide. Ali is a frequent speaker at international conferences and regularly trains on data science and visualization. As a School of Data fellow, he aims at growing a community of data enthusiasts, spreading data skills and educating on the use of big data for public good.

As a part of his work with big data and analytics, Rebaie has led and developed several technology projects across business intelligence for different industries such as media, marketing, oil & gas and transportation. Ali is a member of the internationally renowned Boulder BI Brain Trust (BBBT). If you would like to read my upcoming posts about "Big Data", you can connect with himvia Twitter, like his page on Facebook, or sign-up to my his blog.

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