Quantitative description and modeling of real networks
A. Capocci, G. Caldarelli, P. De Los Rios

TL;DR
This paper analyzes real-world network data, such as the WWW and collaboration networks, and models their growth by incorporating intrinsic relevance, improving the standard AB model to better match observed correlations.
Contribution
It introduces a modified AB model that accounts for intrinsic relevance, enhancing the understanding of network growth dynamics.
Findings
Correlation present in WWW and collaboration networks
Modified AB model reproduces data with good accuracy
Intrinsic relevance influences node degree evolution
Abstract
In this letter we present data analysis and modeling of two particular cases of study in the field of growing networks. We analyze WWW data set and authorship collaboration networks in order to check the presence of correlation in the data. The results are reproduced with a pretty good agreement through a suitable modification of the standard AB model of network growth. In particular, intrinsic relevance of sites plays a role in determining the future degree of the vertex.
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