• Publications
  • Influence
Power-Law Distributions in Empirical Data
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 andExpand
  • 6,690
  • 735
Finding community structure in very large networks.
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 largeExpand
  • 4,926
  • 454
Hierarchical structure and the prediction of missing links in networks
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 hierarchicalExpand
  • 1,556
  • 75
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 completelyExpand
  • 671
  • 52
Performance of modularity maximization in practical contexts.
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, weExpand
  • 756
  • 40
Learning Latent Block Structure in Weighted Networks
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 findingExpand
  • 161
  • 31
A communal catalogue reveals Earth’s multiscale microbial diversity
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, aExpand
  • 606
  • 28
Systematic inequality and hierarchy in faculty hiring networks
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, educationalExpand
  • 204
  • 18
Detecting Change Points in the Large-Scale Structure of Evolving Networks
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. AnExpand
  • 141
  • 17
Scale-free networks are rare
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 ofExpand
  • 222
  • 16