Do the rich get richer? Mathematical models for real-world networks

Networks can be found all around us. From the friendships we form, both in person and online, to the websites we visit on the Internet, and the telephones we use to send messages and make phone calls. Understanding the behavior and structure of these networks can be a difficult task. Mathematicians use models of such complex real-world networks to provide novel insights from an analytical point of view. In this snapshot, we take a look at why mathematics can be useful in understanding networks and discuss interesting recent developments in the study of a popular class of models known as preferential attachment models, which try to explain why the rich get richer.

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Publication Details

Journal
Mathematisches Forschungsinstitut Oberwolfach
Published
2026-09-14
DOI
https://doi.org/10.14760/snap-2026-010-en
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
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article

Do the rich get richer? Mathematical models for real-world networks

Bas Lodewijks
Mathematisches Forschungsinstitut Oberwolfach
Complex Network Analysis Techniques
article

Do the rich get richer? Mathematical models for real-world networks

Bas Lodewijks
article en

Abstract

Networks can be found all around us. From the friendships we form, both in person and online, to the websites we visit on the Internet, and the telephones we use to send messages and make phone calls. Understanding the behavior and structure of these networks can be a difficult task. Mathematicians use models of such complex real-world networks to provide novel insights from an analytical point of view. In this snapshot, we take a look at why mathematics can be useful in understanding networks and discuss interesting recent developments in the study of a popular class of models known as preferential attachment models, which try to explain why the rich get richer.

Mathematisches Forschungsinstitut Oberwolfach
Openalex Percentile: Top 10%
Complex Network Analysis Techniques
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