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An Empirical Analysis of Strategies and Efficiencies in Social Networks

Nathaniel Bulkley
University of Michigan at Ann Arbor - School of Information

Marshall W. Van Alstyne
Boston University - Department of Management Information Systems; MIT - Center for E-Business


February 2006

MIT Sloan Research Paper No. 4682-08

Abstract:     
This research examines hypotheses about the efficient and strategic uses of social networks by a specific group of white collar workers. We examine existing theory that relates network structure to performance and put forward two new hypotheses. The first addition merges explore/exploit theory with social networks, proposing that optimal network characteristics evolve over the course of a career from those favoring exploration to those favoring exploitation of knowledge and relationships. The second concerns efficient movement of information through a network, proposing that frequent short communication outperforms infrequent lengthy communication. Using a unique data set containing email patterns and accounting records for several dozen executive recruiters, we find statistically significant differences related to network (1) structure (2) flow and (3) age. Consistent with existing theory, more central position is associated with higher output. Consistent with the two proposed theories, exploration strategies among early career recruiters and exploitation strategies among senior recruiters are both positively associated with performance, while more frequent shorter messages are associated with higher output. Results of this research have the potential to create a more complete understanding of different types of efficiency associated with social networks.

Keywords: social networks, email, productivity

Working Paper Series

Date posted: March 10, 2006 ; Last revised: October 28, 2008

Suggested Citation

Bulkley, Nathaniel and Van Alstyne, Marshall W., An Empirical Analysis of Strategies and Efficiencies in Social Networks (February 2006). MIT Sloan Research Paper No. 4682-08. Available at SSRN: http://ssrn.com/abstract=887406


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Contact Information

Nathaniel Bulkley (Contact Author)
University of Michigan at Ann Arbor - School of Information ( email )
304 West Hall
550 East University
Ann Arbor, MI 48109-1092
United States
Marshall W. Van Alstyne
Boston University - Department of Management Information Systems ( email )
595 Commonwealth Avenue
Boston, MA 02215
United States
617-358-3571 (Phone)
MIT - Center for E-Business ( email )
77 Massachusetts Avenue
50 Memorial Drive
Cambridge, MA 02139-4307
United States
617-253-0768 (Phone)
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