Wolfram explained this trend by explaining that when you are younger, the three main clusters are usually school, family, and neighborhood. As one ages, the average number of communities increases from around 3 in the teens to just above 4 by age 30 where it levels off. However, a trend emerged between the number of clusters in one’s network and one’s age. Of course, each individual’s network visualization is unique to their life experiences. Different clusters represented different facets of our lives, and the network gives us a perspective on our relationships with others that was nearly impossible to imagine beforehand. Visually impressive, these networks and clusters also help us to understand how our lives change as we age. The result was clusters (or communities) of friends. The visualization of an individual’s social network gave each friend a dot, and then connected those friends who were also friends with each other. Of particular note was Wolfram’s analysis of how our networks – our social groups – morph over time. Stephen Wolfram, the man behind the Wolfram|Alpha website and the Mathematica software, recently compiled a large set of Facebook data and produced a huge report that highlighted facts that were both expected and surprising about Facebook users’ lives. What do you get when you hand the world’s leading statistician a catalog of Facebook data? You get a fascinating set of insights about the trajectory of our lives on social media.
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