Giant Study of 20 Million People Reveals Who Can Help You Get Jobs

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Giant Study of 20 Million People Reveals Who Can Help You Get Jobs
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Say you are looking for a new job.

" in the context of social networks. He argued that the stronger the ties between two individuals, the more their friendship networks will overlap.

Their research piggy-backed on the efforts of engineers at LinkedIn to test and improve the platform's"People You May Know" recommendation algorithm. LinkedIn regularly updates this algorithm, which recommends new people to add to your network. Next, the team measured how many jobs users in each group applied for, and how many"job transmissions" occurred. Job transmissions are of particular interest, as they are defined as getting a job in the same company as the new contact. A job transmission suggests the new contact helped land the job.The study uses causal analysis to go beyond simple correlations and connect link formation with employment. There are three important findings.

What's a"moderately" weak tie? The study found job transmission is most likely from acquaintances with whom you share about 10 mutual friends and rarely interact. These can be translated into algorithmic recommendations, which can make the recommendation engines of professional networks such as LinkedIn even more proficient at helping job-seekers land jobs.The public is often wary when large social media companies perform experiments on their users .

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