首页    期刊浏览 2024年10月07日 星期一
登录注册

文章基本信息

  • 标题:Social Network Size Estimation and Determinants in Tehran Province Residents
  • 作者:Mohsen SHATI ; AliAkbar HAGHDOOST ; Reza MAJDZADEH
  • 期刊名称:Iranian Journal of Public Health
  • 印刷版ISSN:2251-6085
  • 电子版ISSN:2251-6093
  • 出版年度:2014
  • 卷号:43
  • 期号:8
  • 页码:1079-1090
  • 语种:English
  • 出版社:THE SCHOOL OF PUBLIC HEALTH, TEHRAN UNIVERSITY OF MEDICAL SCIENCES
  • 摘要:Background Network scale-up is an indirect method for estimating the size of hidden, hard-to-count or high risk populations. Social network size estimation is the first step in this method. The present study was conducted with the purpose of estimating the social network size of the Tehran Province residents and its determinants. Methods Maximum Likelihood Estimation was applied to estimate people’s network sizes by using populations of known sizes and the scale-up method. Respondents were selected from Tehran province through convenience sampling in 2012. Out of thirteen selected subpopulations with known size, ten had minimum accuracy which used in our analysis. Results Of the 1029 respondents in this study, 46.7% were male. The social network size of Tehran Province residents was estimated to be 259.1 (CI95%: 242.2, 276) based on the ten known populations remained in this study. This size was 291.8 in men and 230.4 in women. Younger people (18–25 years old) had larger network sizes compared to the other age groups ( P <0.001). Conclusion Our estimation for social network size of Tehran inhabitants was smaller than that previously estimated size for the whole country (c=380). In addition, we found that the social network of subpopulations was different. This difference means that we need local estimations for sub-populations to improve the accuracy of population size estimation using network scale up method.
  • 关键词:Network scale up; Population size; Acquaintance; Social network size; Hidden population
Loading...
联系我们|关于我们|网站声明
国家哲学社会科学文献中心版权所有