Assortativity in networks
Abstract
The degree-degree correlation is crucial in understanding the structural properties of and dynamics occurring upon network, and is often measured by the assortativity coefficient r. In this paper, we first study this measure in detail and conclude that r belongs to an asymmetric range [-1,1) rather than the widely-cited [-1,1]. Among which, we verify that star is the unique tree network that achieves the lower bound of index r. Next, we obtain that all the resultant networks based on several widely-used kinds of edge-based iterative operations are disassortative if seed model has negative r, and also generate a family of growing neutral networks. Then, we propose an edge-based iterative operation to construct growing assortative network when seed is assortative, and further extend it to work well in general setting. Lastly, we establish a sufficient condition for existence of neutral tree network, accordingly, not only find out a representative of any order neutral tree network for the first time, but also are the first to create growing neutral tree networks as well. Also, we obtain 8n/9 neutral non-tree graphs of distinct order as n→∞.
Turn this paper into a full lesson
ArcXiv compiles a staged curriculum from this paper: 8-12 lessons across beginner → advanced, synthesised section guides, visuals, flashcards, a quiz, exercises, and on-demand deep dives per section. Grounded in the abstract, never invented.