Social Networks and Labor Markets: How Strong Ties Relate to Job Finding on Facebook’s Social Network

By Laura K. Gee, Jason Jeffrey Jones, Moira Burke. Journal of Labor Economics, 2017

165 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Media Technology, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/bb096d29d01237f7906f3442d12e03c2938a182c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Martin Ester
2. C. Wang

In Media Technology

1. Chun Chen

In Sociology and Political Science

1. Martin Ester
2. Wei Lu

Citations in the corpus

• Social Recommendation with Strong and Weak Ties (2016, background): “Our two plots above are very consistent with those plots (with Y axis showing the probability of job help instead of the number of citations) presented in [12], a recent work by Gee et al. on how strong ties and weak ties relate to job finding on Facebook’s social network.”