EnlargeBloomberg / Contributor | Bloomberg
This month, LinkedIn researchers revealed in Science that the company spent five years quietly researching more than 20 million users. By tweaking the professional networking platform’s algorithm, researchers were trying to determine through A/B testing whether users end up with more job opportunities when they connect with known acquaintances or complete strangers.
To weigh the strength of connections between users as weak or strong, acquaintance or stranger, the researchers analyzed factors like the number of messages they sent back and forth or the number of mutual friends they shared, gauging how these factors changed over
→ Continue reading at Ars Technica