Paysa CompanyRank: How Top Tech Companies Evolve Over Time

A few weeks ago Lydia Dishman wrote a fantastic piece characterizing the top tech companies as defined by the "quality" of their talent using the Paysa CompanyRank algorithm and how these companies change in rank over time. CompanyRank is an Expectation-Maximization algorithm applied over space and time to quantifying the network-wide flux of tech workers to/fro/retained at each technical company at each month in time…a distant cousin to Google's PageRank algorithm. Another example of emergent structure learned from perceived independent chaos of a large, sparsely-connected complex system. Figure 1 depicts the Paysa CompanyRank time-series of Uber, Facebook, Google and Zynga over time. The top slot, e.g., most talent dense company gets rank of #1 and decays down to an arbitrary low rank (high number)…think 1 is better than 2 is better than 3 and so forth.