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

Published

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