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07/22/2021
Recovering lost and absent information in temporal networks
The full range of activity in a temporal network is captured in its edge...
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06/29/2021
The penumbra of open source: projects outside of centralized platforms are longer maintained, more academic and more collaborative
GitHub has become the central online platform for much of open source, h...
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03/23/2021
A Review Framework for Modeling Complex Engineered System Development Processes
Developing complex engineered systems (CES) poses significant challenges...
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03/19/2021
Which contributions count? Analysis of attribution in open source
Open source software projects usually acknowledge contributions with tex...
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06/15/2020
The sociospatial factors of death: Analyzing effects of geospatially-distributed variables in a Bayesian mortality model for Hong Kong
Human mortality is in part a function of multiple socioeconomic factors ...
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02/12/2020
Complex contagion features without social reinforcement in a model of social information flow
Contagion models are a primary lens through which we understand the spre...
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12/10/2019
Efficient crowdsourcing of crowd-generated microtasks
Allowing members of the crowd to propose novel microtasks for one anothe...
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04/02/2019
UAFS: Uncertainty-Aware Feature Selection for Problems with Missing Data
Missing data are a concern in many real world data sets and imputation m...
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03/07/2019
Accurate inference of crowdsourcing properties when using efficient allocation strategies
Allocation strategies improve the efficiency of crowdsourcing by decreas...
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12/14/2018
Inferring the size of the causal universe: features and fusion of causal attribution networks
Cause-and-effect reasoning, the attribution of effects to causes, is one...
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10/07/2018
Efficient Crowd Exploration of Large Networks: The Case of Causal Attribution
Accurately and efficiently crowdsourcing complex, open-ended tasks can b...
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05/17/2018
Neural language representations predict outcomes of scientific research
Many research fields codify their findings in standard formats, often by...
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04/10/2018
An information-theoretic, all-scales approach to comparing networks
As network research becomes more sophisticated, it is more common than e...
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02/14/2018
Crowd ideation of supervised learning problems
Crowdsourcing is an important avenue for collecting machine learning dat...
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09/08/2017
Crowdsourcing Predictors of Residential Electric Energy Usage
Crowdsourcing has been successfully applied in many domains including as...
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07/21/2017
Autocompletion interfaces make crowd workers slower, but their use promotes response diversity
Creative tasks such as ideation or question proposal are powerful applic...
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04/20/2016
What we write about when we write about causality: Features of causal statements across large-scale social discourse
Identifying and communicating relationships between causes and effects i...
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01/29/2016
Zipf's law is a consequence of coherent language production
The task of text segmentation may be undertaken at many levels in text a...
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03/07/2015