کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1150980 | 958172 | 2011 | 21 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Adjusting for network size and composition effects in exponential-family random graph models
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موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
آمار و احتمال
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Adjusting for network size and composition effects in exponential-family random graph models Adjusting for network size and composition effects in exponential-family random graph models](/preview/png/1150980.png)
چکیده انگلیسی
Exponential-family random graph models (ERGMs) provide a principled way to model and simulate features common in human social networks, such as propensities for homophily and friend-of-a-friend triad closure. We show that, without adjustment, ERGMs preserve density as network size increases. Density invariance is often not appropriate for social networks. We suggest a simple modification based on an offset which instead preserves the mean degree and accommodates changes in network composition asymptotically. We demonstrate that this approach allows ERGMs to be applied to the important situation of egocentrically sampled data. We analyze data from the National Health and Social Life Survey (NHSLS).
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Statistical Methodology - Volume 8, Issue 4, July 2011, Pages 319–339
Journal: Statistical Methodology - Volume 8, Issue 4, July 2011, Pages 319–339
نویسندگان
Pavel N. Krivitsky, Mark S. Handcock, Martina Morris,