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Paper Information

Journal:   IRANIAN JOURNAL OF PUBLIC HEALTH   AUGUST 2014 , Volume 43 , Number 8; Page(s) 1079 To 1090.
 
Paper: 

SOCIAL NETWORK SIZE ESTIMATION AND DETERMINANTS IN TEHRAN PROVINCE RESIDENTS

 
 
Author(s):  SHATI MOHSEN, HAGHDOOST ALIAKBAR*, MAJDZADEH REZA, MOHAMMAD KAZEM, MORTAZAVI SEYEDE SALEHE
 
* RESEARCH CENTER FOR MODELING IN HEALTH, INSTITUTE FOR FUTURES STUDIES IN HEALTH, KERMAN UNIVERSITY OF MEDICAL SCIENCES, KERMAN, IRAN
 
Abstract: 

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.

 
Keyword(s): NETWORK SCALE UP, POPULATION SIZE, ACQUAINTANCE, SOCIAL NETWORK SIZE, HIDDEN POPULATION
 
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