VA-Index: Quantifying Assortativity Patterns in Networks with Multidimensional Nodal Attributes.

ABSTRACT: 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) of the network nodes and the observed connections, i.e., the edges. Nevertheless, in many cases a multi-dimensional, i.e., vector feature of the nodes is of interest. Similar attributes can describe complex behavioral patterns (e.g., mobility) of the network entities. To date little attention has been given to this setting and there has not been a general and formal treatment of this problem. In this

SUBMITTER: Pelechrinis K 

PROVIDER: S-EPMC4731394 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature