Paper Info
Title
Sampling Bias in LinkedIn: A Case Study.
Abstract
This paper describes a case study of sampling bias in LinkedIn, a major professional social network. The study collected a sample of 1,989 STEM students who graduated from a major public university between 2002 and 2014. Overall, 40\% of the graduates had a LinkedIn profile in summer of 2015. It was observed that LinkedIn participation significantly fluctuated among different majors, and ranged from 30\% for biochemistry majors to 51\% for information science majors. Year of graduation, gender, and grade point average surprisingly did not seem to create a large difference in LinkedIn participation. These results should be useful for design and interpretation of empirical studies which use LinkedIn data or select participants from LinkedIn social network.
Year
DOI
Venue
2016
10.1145/2872518.2889357
WWW '16: 25th International World Wide Web Conference Montréal Québec Canada April, 2016
Field
DocType
ISBN
World Wide Web,Social network,Grading (education),Simulation,Computer science,Information science,Sampling bias,Mathematics education,Empirical research
Conference
978-1-4503-4144-8
Citations 
PageRank 
References 
1
0.38
4
Authors
2
Name
Order
Citations
PageRank
Shanshan Zhang13510.39
Slobodan Vucetic263756.38