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- Publications
- Influence

Power-Law Distributions in Empirical Data

- A. Clauset, C. Shalizi, M. Newman
- Physics, Mathematics
- SIAM Review
- 7 June 2007

Power-law distributions occur in many situations of scientific interest and have significant consequences for our understanding of natural and man-made phenomena. Unfortunately, the detection and… Expand

Finding community structure in very large networks.

- A. Clauset, M. Newman, C. Moore
- Physics, Medicine
- Physical review. E, Statistical, nonlinear, and…
- 9 August 2004

The discovery and analysis of community structure in networks is a topic of considerable recent interest within the physics community, but most methods proposed so far are unsuitable for very large… Expand

Hierarchical structure and the prediction of missing links in networks

- A. Clauset, C. Moore, M. Newman
- Medicine, Mathematics
- Nature
- 1 May 2008

Networks have in recent years emerged as an invaluable tool for describing and quantifying complex systems in many branches of science. Recent studies suggest that networks often exhibit hierarchical… Expand

Finding local community structure in networks.

- A. Clauset
- Medicine, Mathematics
- Physical review. E, Statistical, nonlinear, and…
- 4 March 2005

Although the inference of global community structure in networks has recently become a topic of great interest in the physics community, all such algorithms require that the graph be completely… Expand

Performance of modularity maximization in practical contexts.

- Benjamin H. Good, Yves-Alexandre de Montjoye, A. Clauset
- Medicine, Mathematics
- Physical review. E, Statistical, nonlinear, and…
- 1 October 2009

Although widely used in practice, the behavior and accuracy of the popular module identification technique called modularity maximization is not well understood in practical contexts. Here, we… Expand

Learning Latent Block Structure in Weighted Networks

- Christopher Aicher, Abigail Z. Jacobs, A. Clauset
- Mathematics, Computer Science
- J. Complex Networks
- 1 April 2014

Community detection is an important task in network analysis, in which we aim to learn a network partition that groups together vertices with similar community-level connectivity patterns. By finding… Expand

A communal catalogue reveals Earth’s multiscale microbial diversity

- L. Thompson, J. Sanders, +39 authors R. Knight
- Biology, Medicine
- Nature
- 1 November 2017

Our growing awareness of the microbial world’s importance and diversity contrasts starkly with our limited understanding of its fundamental structure. Despite recent advances in DNA sequencing, a… Expand

Systematic inequality and hierarchy in faculty hiring networks

- A. Clauset, S. Arbesman, D. Larremore
- Medicine, Computer Science
- Science Advances
- 1 February 2015

An analysis of networks of graduate-to-faculty hires reveals systematic hiring biases and patterns. The faculty job market plays a fundamental role in shaping research priorities, educational… Expand

Detecting Change Points in the Large-Scale Structure of Evolving Networks

- Leto Peel, A. Clauset
- Computer Science, Physics
- AAAI
- 4 March 2014

Interactions among people or objects are often dynamic in nature and can be represented as a sequence of networks, each providing a snapshot of the interactions over a brief period of time. An… Expand

Scale-free networks are rare

- A. Broido, A. Clauset
- Biology, Medicine
- Nature Communications
- 9 January 2018

Real-world networks are often claimed to be scale free, meaning that the fraction of nodes with degree k follows a power law k−α, a pattern with broad implications for the structure and dynamics of… Expand