Aaron Clauset | DeepAI

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∙ 09/08/2023

Scientific productivity as a random walk

The expectation that scientific productivity follows regular patterns ov...

0 Sam Zhang, et al. ∙

∙ 04/12/2022

Labor advantages drive the greater productivity of faculty at elite universities

Faculty at prestigious institutions dominate scientific discourse, with ...

0 Sam Zhang, et al. ∙

∙ 01/01/2022

Subfield prestige and gender inequality in computing

Women and people of color remain dramatically underrepresented among com...

0 Nicholas LaBerge, et al. ∙

∙ 05/25/2021

Convergence criteria for sampling random graphs with specified degree sequences

The configuration model is a standard tool for generating random graphs ...

0 Upasana Dutta, et al. ∙

∙ 05/06/2021

The Dynamics of Faculty Hiring Networks

Faculty hiring networks-who hires whose graduates as faculty-exhibit ste...

0 Eun Lee, et al. ∙

∙ 11/25/2020

Evaluating the scale, growth, and origins of right-wing echo chambers on YouTube

Although it is understudied relative to other social media platforms, Yo...

0 Homa Hosseinmardi, et al. ∙

∙ 09/17/2019

Stacking Models for Nearly Optimal Link Prediction in Complex Networks

Most real-world networks are incompletely observed. Algorithms that can ...

16 Amir Ghasemian, et al. ∙

∙ 04/09/2019

Environmental Changes and the Dynamics of Musical Identity

Musical tastes reflect our unique values and experiences, our relationsh...

0 Samuel F. Way, et al. ∙

∙ 01/15/2019

On the frequency and severity of interstate wars

Lewis Fry Richardson argued that the frequency and severity of deadly co...

0 Aaron Clauset, et al. ∙

∙ 10/21/2018

Predicting the outcomes of policy diffusion from U.S. states to federal law

In the United States, national policies often begin as state laws, which...

0 Nora Connor, et al. ∙

∙ 05/25/2018

Prestige drives epistemic inequality in the diffusion of scientific ideas

The spread of ideas in the scientific community is often viewed as a com...

0 Allison C. Morgan, et al. ∙

∙ 04/08/2018

Automatically assembling a full census of an academic field

The composition of the scientific workforce shapes the direction of scie...

0 Allison C. Morgan, et al. ∙

∙ 02/28/2018

Evaluating Overfit and Underfit in Models of Network Community Structure

A common data mining task on networks is community detection, which seek...

0 Amir Ghasemian, et al. ∙

∙ 01/09/2018

Scale-free networks are rare

A central claim in modern network science is that real-world networks ar...

0 Anna D. Broido, et al. ∙

∙ 10/31/2017

Characterizing the structural diversity of complex networks across domains

The structure of complex networks has been of interest in many scientifi...

0 Kansuke Ikehara, et al. ∙

∙ 12/25/2016

The misleading narrative of the canonical faculty productivity trajectory

A scientist may publish tens or hundreds of papers over a career, but th...

0 Samuel F. Way, et al. ∙

∙ 08/20/2016

The ground truth about metadata and community detection in networks

Across many scientific domains, there is a common need to automatically ...

0 Leto Peel, et al. ∙

∙ 06/19/2015

Detectability thresholds and optimal algorithms for community structure in dynamic networks

We study the fundamental limits on learning latent community structure i...

0 Amir Ghasemian, et al. ∙

∙ 11/14/2014

A unified view of generative models for networks: models, methods, opportunities, and challenges

Research on probabilistic models of networks now spans a wide variety of...

0 Abigail Z. Jacobs, et al. ∙

∙ 04/02/2014

Learning Latent Block Structure in Weighted Networks

Community detection is an important task in network analysis, in which w...

0 Christopher Aicher, et al. ∙

∙ 03/12/2014

Efficiently inferring community structure in bipartite networks

Bipartite networks are a common type of network data in which there are ...

0 Daniel B. Larremore, et al. ∙

∙ 03/05/2014

Detecting change points in the large-scale structure of evolving networks

Interactions among people or objects are often dynamic in nature and can...

0 Leto Peel, et al. ∙

∙ 05/24/2013

Adapting the Stochastic Block Model to Edge-Weighted Networks

We generalize the stochastic block model to the important case in which ...

0 Christopher Aicher, et al. ∙

∙ 03/04/2011

Adapting to Non-stationarity with Growing Expert Ensembles

When dealing with time series with complex non-stationarities, low retro...

0 Cosma Rohilla Shalizi, et al. ∙

∙ 11/04/2008

Hierarchical structure and the prediction of missing links in networks

Networks have in recent years emerged as an invaluable tool for describi...

0 Aaron Clauset, et al. ∙

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