research
∙
09/08/2023
Scientific productivity as a random walk
The expectation that scientific productivity follows regular patterns ov...
share
research
∙
04/12/2022
Labor advantages drive the greater productivity of faculty at elite universities
Faculty at prestigious institutions dominate scientific discourse, with ...
research
∙
01/01/2022
Subfield prestige and gender inequality in computing
Women and people of color remain dramatically underrepresented among com...
research
∙
05/25/2021
Convergence criteria for sampling random graphs with specified degree sequences
The configuration model is a standard tool for generating random graphs ...
research
∙
05/06/2021
The Dynamics of Faculty Hiring Networks
Faculty hiring networks-who hires whose graduates as faculty-exhibit ste...
research
∙
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...
research
∙
09/17/2019
Stacking Models for Nearly Optimal Link Prediction in Complex Networks
Most real-world networks are incompletely observed. Algorithms that can ...
research
∙
04/09/2019
Environmental Changes and the Dynamics of Musical Identity
Musical tastes reflect our unique values and experiences, our relationsh...
research
∙
01/15/2019
On the frequency and severity of interstate wars
Lewis Fry Richardson argued that the frequency and severity of deadly co...
research
∙
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...
research
∙
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...
research
∙
04/08/2018
Automatically assembling a full census of an academic field
The composition of the scientific workforce shapes the direction of scie...
research
∙
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...
research
∙
01/09/2018
Scale-free networks are rare
A central claim in modern network science is that real-world networks ar...
research
∙
10/31/2017
Characterizing the structural diversity of complex networks across domains
The structure of complex networks has been of interest in many scientifi...
research
∙
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...
research
∙
08/20/2016
The ground truth about metadata and community detection in networks
Across many scientific domains, there is a common need to automatically ...
research
∙
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...
research
∙
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...
research
∙
04/02/2014
Learning Latent Block Structure in Weighted Networks
Community detection is an important task in network analysis, in which w...
research
∙
03/12/2014
Efficiently inferring community structure in bipartite networks
Bipartite networks are a common type of network data in which there are ...
research
∙
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...
research
∙
05/24/2013
Adapting the Stochastic Block Model to Edge-Weighted Networks
We generalize the stochastic block model to the important case in which ...
research
∙
03/04/2011
Adapting to Non-stationarity with Growing Expert Ensembles
When dealing with time series with complex non-stationarities, low retro...
research
∙
11/04/2008
