کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1129286 | 955243 | 2012 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Networks and geography: Modelling community network structures as the outcome of both spatial and network processes
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
آمار و احتمال
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Networks and geography: Modelling community network structures as the outcome of both spatial and network processes Networks and geography: Modelling community network structures as the outcome of both spatial and network processes](/preview/png/1129286.png)
چکیده انگلیسی
This paper focuses on how to extend the exponential random graph models to take into account the geographical embeddedness of individuals in modelling social networks. We develop a hierarchical set of nested models for spatially embedded social networks, in which, following Butts (2002), an interaction function between tie probability and Euclidean distance between nodes is introduced. The models are illustrated by an empirical example from a study of the role of social networks in understanding spatial clustering in unemployment in Australia. The analysis suggests that a spatial effect cannot solely explain the emergence of organised network structure and it is necessary to include both spatial and endogenous network effects in the model.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Social Networks - Volume 34, Issue 1, January 2012, Pages 6–17
Journal: Social Networks - Volume 34, Issue 1, January 2012, Pages 6–17
نویسندگان
Galina Daraganova, Pip Pattison, Johan Koskinen, Bill Mitchell, Anthea Bill, Martin Watts, Scott Baum,