To tell the truth: Measuring concordance in multiply reported network data


Journal Article

Social network data must accurately reflect actors' relationships to properly estimate network features. Here, we examine multiple reports of sexual, drug-sharing and social tie data on high-risk networks in Colorado Springs. By comparing multiple reports on the same ties, we can evaluate the reliability of this study's network data. Our findings suggest that these data have a high level of reporting agreement. From these findings, we discuss implications for analysis of these and similar data and provide suggestions for future social network data collection efforts. © 2005 Elsevier B.V. All rights reserved.

Full Text

Duke Authors

Cited Authors

  • adams, J; Moody, J

Published Date

  • January 1, 2007

Published In

Volume / Issue

  • 29 / 1

Start / End Page

  • 44 - 58

International Standard Serial Number (ISSN)

  • 0378-8733

Digital Object Identifier (DOI)

  • 10.1016/j.socnet.2005.11.009

Citation Source

  • Scopus