The network autocorrelation model using two-mode data: Affiliation exposure and potential bias in the autocorrelation parameter
نویسندگان
چکیده
منابع مشابه
The network autocorrelation model using two-mode data: Affiliation exposure and potential bias in the autocorrelation parameter
The network autocorrelation model has been a workhorse for modeling network influences on individual behavior. The standard network approaches to mapping social influence using network measures, however, are limited to specifying an influence weight matrix (W) based on a single mode network. Additionally, it has been demonstrated that the estimate of the autocorrelation parameter of the network...
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The network autocorrelation model has been extensively used by researchers interested modeling social influence effects in social networks. The most common inferential method in the model is classical maximum likelihood estimation. This approach, however, has known problems such as negative bias of the network autocorrelation parameter and poor coverage of confidence intervals. In this paper, w...
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ژورنال
عنوان ژورنال: Social Networks
سال: 2011
ISSN: 0378-8733
DOI: 10.1016/j.socnet.2011.06.001