What question did this study set out to answer?

To measure connection patterns between highly connected nodes across diverse real-world systems and evaluate how assortative mixing affects network percolation and resilience.

October 28, 2002Physical Review LettersOpen Access

Assortative Mixing in Networks

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Authors

MNM. E. J. NewmanCity College of New York

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Implication

Computational modeling reveals distinct mixing patterns across diverse networks, indicating that assortative structures enhance percolation and robustness against vertex removal.

Key Points

To measure connection patterns between highly connected nodes across diverse real-world systems and evaluate how assortative mixing affects network percolation and resilience.
Quantified degree mixing patterns across real-world social, technological, and biological network datasets.
Developed a theoretical framework for assortatively mixed networks analyzed via analytical calculations and numerical simulations.
Social networks show predominantly assortative mixing, whereas technological and biological networks consistently trend toward disassortative mixing.
Assortative networks percolate more easily and maintain greater structural robustness when subjected to vertex removal compared to disassortative structures.

Cite This Study

M. E. J. Newman (2002) studied this question.

synapsesocial.com/papers/69db23a84a1e15904c8370fa https://doi.org/10.1103/physrevlett.89.208701

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Implication

Computational modeling reveals distinct mixing patterns across diverse networks, indicating that assortative structures enhance percolation and robustness against vertex removal.

Assortative Mixing in Networks

Discussion

Member takes

Implication

Key Points

Cite This Study

Assortative Mixing in Networks

Discussion

Member takes

Implication

Key Points

Cite This Study

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