VA-Index: Quantifying Assortativity Patterns in Networks with Multidimensional Nodal Attributes
نویسندگان
چکیده
منابع مشابه
VA-Index: Quantifying Assortativity Patterns in Networks with Multidimensional Nodal Attributes.
Network connections have been shown to be correlated with structural or external attributes of the network vertices in a variety of cases. Given the prevalence of this phenomenon network scientists have developed metrics to quantify its extent. In particular, the assortativity coefficient is used to capture the level of correlation between a single-dimensional attribute (categorical or scalar) ...
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Network connections are far from random and they have been shown to be correlated with external nodal attributes in a variety of cases. Therefore, metrics have been developed to quantify the extend of this phenomenon. In particular, the assortativity coefficient is used to capture the level of correlation between a single-dimensional nodal feature and the observed connections. However, in many ...
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ژورنال
عنوان ژورنال: PLOS ONE
سال: 2016
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0146188