Why are weak ties more influential in obtaining employment than close ties such as those immediate family members or very close friends?

Abstract

Analysis of social networks is suggested as a tool for linking micro and macro levels of sociological theory. The procedure is illustrated by elaboration of the macro implications of one aspect of small-scale interaction: the strength of dyadic ties. It is argued that the degree of overlap of two individuals' friendship networks varies directly with the strength of their tie to one another. The impact of this principle on diffusion of influence and information, mobility opportunity, and community organization is explored. Stress is laid on the cohesive power of weak ties. Most network models deal, implicitly, with strong ties, thus confining their applicability to small, well-defined groups. Emphasis on weak ties lends itself to discussion of relations between groups and to analysis of segments of social structure not easily defined in terms of primary groups.

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Whether it’s the friend of a friend or a new contact from a conference, arms-length acquaintances have long been thought more useful than close chums when it comes to switching jobs.

Now researchers say they have finally found a way to test the theory, revealing that while such “weak ties” do seem to facilitate job shifts, the most useful share a handful of mutual contacts.

Weak ties are thought to be beneficial for everything from employment opportunities to innovation because they provide a bridge between clusters of people who know each other, allowing new information and ideas to flow.

“If you are the one in your cluster that has the weak tie bridges to other clusters, you see novel information first, so you have an opportunity to act on that before other people,” said Prof Sinan Aral, of the Massachusetts Institute of Technology, who is a co-author of the research. He said one example was the chance of a new job.

But while this theory of the strength of weak ties has been hugely influential over the decades, Aral noted that it had never been confirmed in large-scale experiments.

“We know that weak ties and job mobility are correlated. But we didn’t really know whether weak ties were causing the job mobility,” he said.

Writing in the journal Science, Aral and colleagues report how they carried out two experiments, one involving more than 4 million LinkedIn members in 2015 and one involving more than 16 million members in 2019.

In both, the team tweaked the algorithms behind a tool called “People You May Know” to ensure members were randomly recommended connections with either people who had few mutual contacts, known as weak ties, or people who many contacts in common with them, known as strong ties.

Once a member had accepted a recommendation, the team tracked how many messages were sent between the pair. They also looked at whether members applied for or moved jobs.

The team found that the probability of a LinkedIn member joining the same company as their new contact was higher when the number of contacts they shared was higher. However, once this number exceeded 10 mutual contacts, the probability fell.

“The best ties for job mobility aren’t the weakest ties, they are moderately weak,” said Aral.

The team also found that members who rarely exchanged messages with their new contact, and hence could also be deemed a weak tie, had a greater chance of joining the same firm.

Aral said this might be because such conversations are concentrated, rather than embracing everyday life. “They’re focused on a few practical topics like how suitable are you for a job in my company,” he said.

In another twist, the team found that in general, increasing the number of weak ties boosted the number of job applications members made. But further analysis showed such ties were of greater importance in more digitally focused industries, whereas strong ties led to more job applications in industries that rely less on software skills.

Aral said that as well as examining the importance of weak ties, the study highlighted the degree to which social media algorithms “are turning the knobs on our economies and fundamental indicators like employment”.

Dr Bernie Hogan, a senior research fellow at the Oxford Internet Institute, who was not involved in the work, said the research offered robust evidence for the strength of weak ties, but also showed that not all such connections are helpful.

“You really need to be in that sweet spot of [connecting with] someone who knows people you know, but doesn’t know the same things as everyone you know,” he said.

Hogan added that the findings also point to practical tips for those seeking new employment. “It’s easy to think about asking your immediate colleague or your best friend for job advice,” he said. “But clearly that’s not what we ought to be doing. We ought to be looking a little further afield.”

Why are weak ties more influential in obtaining employment then close ties such as those immediate family members are very close friends?

Why are weak ties so much more influential in obtaining employment than close ties, like those among immediate family members or very close friends? Family and close friends are less likely to know about job positions that you don't know about than acquaintances, who are much more likely to have different connections.

Why are weak ties better than strong ties?

Granovetter argued that although weak ties display low intimacy and emotional intensity than strong ties, it offers vital benefits such as providing more social support and networking strength. Past studies also espoused weak ties provide better connection and support than strong ties.

Why are weak ties so important for finding work?

Almost 28 percent heard about the job from a weak tie. Strong ties provide bonds, but weak ties served as bridges: they provide more efficient access to new information. Our strong ties tend to travel in the same social circles and know about the same opportunities as we do.

Why are weak ties important?

Weak ties serve as a bridge between groups of people that are closely knit with each other, but not with the other groups. Through these bridges, information can be fed from one group to another. In practice, this can be important in a number of ways.