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Sampling Bias in LinkedIn: A Case Study

Published:11 April 2016Publication History

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.

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  1. Sampling Bias in LinkedIn: A Case Study

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    • Published in

      cover image ACM Other conferences
      WWW '16 Companion: Proceedings of the 25th International Conference Companion on World Wide Web
      April 2016
      1094 pages
      ISBN:9781450341448

      Copyright © 2016 Copyright is held by the owner/author(s)

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Publisher

      International World Wide Web Conferences Steering Committee

      Republic and Canton of Geneva, Switzerland

      Publication History

      • Published: 11 April 2016

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      Acceptance Rates

      WWW '16 Companion Paper Acceptance Rate115of727submissions,16%Overall Acceptance Rate1,899of8,196submissions,23%

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