Model behaviour in social networks

New network models have been developed over recent years that could help researchers gain deeper insights into the spread of disease. We spoke to Professor Johannes Lengler about his work in refining geometric inhomogenous random graphs (GIRGs), and how they could improve epidemic modelling and inform more effective quarantine strategies.

Publication Details

Journal
EU Research
Published
2024-12-01
DOI
https://doi.org/10.56181//ywvc5846
Primary Topic
Opinion Dynamics and Social Influence
Type
article
Field-Weighted Citation Impact
0.00
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article

Model behaviour in social networks

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EU Research
Opinion Dynamics and Social Influence
article

Model behaviour in social networks

article en

Abstract

New network models have been developed over recent years that could help researchers gain deeper insights into the spread of disease. We spoke to Professor Johannes Lengler about his work in refining geometric inhomogenous random graphs (GIRGs), and how they could improve epidemic modelling and inform more effective quarantine strategies.

EU ResearchVol. Winter 2024(41)
Openalex Percentile: Top 76%
Opinion Dynamics and Social Influence
DOISourceOpenAlex
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Model behaviour in social networks · EU Research (2024) | TGRS Research Map | TGRS