JSM 2012 Home

JSM 2012 Online Program

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

Online Program Home

Abstract Details

Activity Number: 30
Type: Contributed
Date/Time: Sunday, July 29, 2012 : 2:00 PM to 3:50 PM
Sponsor: Business and Economic Statistics Section
Abstract - #306142
Title: Data Collection and Estimation in Networks Through Cognitive Social Structures
Author(s): Deniz Yenigun*+ and Gunes Ertan and Michael Siciliano
Companies: Bilkent University and University of Pittsburgh and University of Pittsburgh
Address: Faculty of Business Administration, Ankara 06800, , Turkey
Keywords: social networks ; network sampling ; cognitive social structures

We introduce a novel sampling and estimation methodology for identifying unknown networks or network measures of interest. Rather than collecting data to observe a network full, which is typically costly or impossible, we randomly sample a portion of individuals in the network and estimate the network based on the sampled individuals' perceptions on all possible ties. We find the methodology produces accurate estimates of social structure and network level indices in five different datasets. In order to illustrate the performance of our approach we compare its results with the traditional roster and ego network methods of data collection. Across all five datasets, our methodology outperforms these standard social network data collection methods. We offer ideas on applications of our methodology in cross-network settings. The methods introduced are applicable to research fields in organization theory, public administration, health policy, education policy, and other areas of research concerning studies of human associations.

The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2012 program

2012 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.