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arXiv · 1405.7018

Growing Networks with Super-Joiners

Ammerah Jabr-Hamdan·Jie Sun·Daniel ben-Avraham
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Abstract

We study the Krapivsky-Redner (KR) network growth model but where new nodes can connect to any number of existing nodes, $m$, picked from a power-law distribution $p(m)\sim m^{-\alpha}$. Each of the $m$ new connections is still carried out as in the KR model with probability redirection $r$ (corresponding to degree exponent $\gamma_{\rm KR}=1+1/r$, in the original KR model). The possibility to connect to any number of nodes resembles a more realistic type of growth in several settings, such as social networks, routers networks, and networks of citations. Here we focus on the in-, out-, and total-degree distributions and on the potential tension between the degree exponent $\alpha$, characterizing new connections (outgoing links), and the degree exponent $\gamma_{\rm KR}(r)$ dictated by the redirection mechanism.

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Ammerah Jabr-Hamdan, Jie Sun, Daniel ben-Avraham. 2014-05-27. Growing Networks with Super-Joiners. https://doi.org/10.1103/physreve.90.052812

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