# assortativity in a sentence

*Assortativity*is often operationalized as a correlation between two nodes.- Extending this further, four types of
*assortativity*can be considered ( see ). - Local
*assortativity*in undirected networks is defined as, - This tendency is referred to as assortative mixing, or "
*assortativity*". - Local
*assortativity*is defined as the contribution that each node makes to the network assortativity. - It's difficult to find
*assortativity*in a sentence. - Local assortativity is defined as the contribution that each node makes to the network
*assortativity*. - For a more in-depth analysis of this topic, see the article on
*assortativity*. - The "
*assortativity*coefficient " is the Pearson correlation coefficient of degree between pairs of linked nodes. - The two most prominent measures are the "
*assortativity*coefficient " and the " neighbor connectivity ". - For measuring the
*assortativity*of scalar variables, similar to the discrete case ( see above ) an assortativity coefficient can be defined. - For measuring the assortativity of scalar variables, similar to the discrete case ( see above ) an
*assortativity*coefficient can be defined. - The function can be plotted on a graph ( see Fig . 2 ) to depict the overall
*assortativity*trend for a network. - The properties of
*assortativity*are useful in the field of epidemiology, since they can help understand the spread of disease or cures. - The
*Assortativity*of a network is a measurement of how connected similar nodes are, where similarity is typically viewed in terms of node degree. *Assortativity*is not structural, meaning that it is not a consequence of the degree distribution, but it is generated by some process that governs the network s evolution.

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