CCNR

Center for Complex Network Research

CCNR, directed by Professor Albert-László Barabási, has a simple objective: think networks. The center's research focuses on how networks emerge, what they look like, and how they evolve; and how networks impact on understanding of complex systems.
think networks network impact

Publications

All publications
Reproducible science of science at scale: pySciSci

Reproducible science of science at scale: pySciSci

1 Dec 2023

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A network-based normalized impact measure reveals successful periods of scientific discovery across discipline

A network-based normalized impact measure reveals successful periods of...

15 Nov 2023

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Who Supports American Art Museums? Introducing a New Dataset and Data Sources about Museum Funding - Albert-László Barabási and Louis Shekhtman

Who Supports American Art Museums? Introducing a New Dataset and Data...

11 Nov 2023

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Noncoding RNAs improve the predictive power of network medicine

Noncoding RNAs improve the predictive power of network medicine

31 Oct 2023

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Network medicine framework reveals generic herb-symptom effectiveness of traditional Chinese medicine

Network medicine framework reveals generic herb-symptom effectiveness of...

30 Oct 2023

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nature physics - Impact of physicality on network structure

nature physics - Impact of physicality on network structure

25 Oct 2023

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Machine learning prediction of the degree of food processing

Machine learning prediction of the degree of food processing

19 Apr 2023

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Improving the generalizability of protein-ligand binding predictions with AI-Bind

Improving the generalizability of protein-ligand binding predictions with AI-Bind

8 Apr 2023

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Accelerating network layouts using graph neural networks

Accelerating network layouts using graph neural networks

20 Mar 2023

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Genomics and phenomics of body mass index reveals a complex disease network

Genomics and phenomics of body mass index reveals a complex disease network

28 Dec 2022

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