Tag Archives | Centrality

Temporal Issues in Replication: The Stability of Centrality-Based Advantage

Yuan Shi, Olav Sorenson, David M. Waguespack

Sociological Science, January 30, 2017
DOI 10.15195/v4.a5

The results of archival studies may depend on when researchers analyze data for at least two reasons: (1) databases change over time and (2) the sampling frame, in terms of the period covered, may reflect different environmental conditions. We examined these issues through the replication of Hochberg, Ljungqvist, and Lu’s (2007) research on the centrality of venture capital firms and their performance. We demonstrate (1) that one can reproduce the results in the original article if one uses data downloaded at roughly the same time as the original researchers did, (2) that these results remain fairly robust to even a decade of database updating, but (3) that the results depend sensitively on the sampling frame. Centrality only has a positive relationship to fund performance during boom periods.

Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.
Yuan Shi: Robert H. Smith School of Business, University of Maryland
Email: yuanshi@rhsmith.umd.edu

Olav Sorenson: Yale School of Management, Yale University
Email: olav.sorenson@yale.edu

David M. Waguespack: Robert H. Smith School of Business, University of Maryland
Email: dwaguesp@rhsmith.umd.edu

  • Citation: Shi, Yuan, Olav Sorenson, and David M. Waguespack. 2017. “The Stability of Centrality-Based Competitive Advantage.” Sociological Science 4: 107-122.
  • Received: October 17, 2016
  • Accepted: December 6, 2016
  • Editors: Delia Baldassarri
  • DOI: 10.15195/v4.a5

Why Your Friends Are More Important and Special Than You Think

Thomas U. Grund

Sociological Science, April 14, 2014
DOI 10.15195/v1.a10

A large amount of research finds associations between individuals’ attributes and the position of individuals in network structures. In this article, I illustrate how such associations systematically affect the assessment of attributes through network neighbors. The friendship paradox—a general regularity in network contexts, which states that your friends are likely to have more friends than you—becomes relevant and extends to individuals’ attributes as well. First, I show that your friends are likely to be better informed (closeness), better intermediaries (betweenness) and more powerful (eigenvector) than you. Second, I suggest more generally that your friends are likely to be more special in their attributes than the population at large. Finally, I investigate the implications of this phenomenon in a dynamic setting. Applying calibrated agent-based simulations, I use a model of attribute adoption to emphasize how structurally introduced experiences penetrate the trajectory of social processes. Existing research does not yet adequately acknowledge this phenomenon.

Thomas U. Grund: Stockholm University. E-mail: thomas.u.grund@gmail.com

  • Citation: Thomas U. Grund. 2014. “Why Your Friends Are More Important and Special Than You Think.” Sociological Science 1: 128–140
  • Received: December 14, 2013
  • Accepted: December 27, 2o13
  • Editors: Jesper Sørensen, Ezra Zuckerman
  • DOI: 10.15195/v1.a10