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12/29/2022
Inference of interaction kernels in mean-field models of opinion dynamics
In models of opinion dynamics, many parameters – either in the form of c...
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12/01/2022
Inference of Media Bias and Content Quality Using Natural-Language Processing
Media bias can significantly impact the formation and development of opi...
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09/16/2022
Detecting Political Biases of Named Entities and Hashtags on Twitter
Ideological divisions in the United States have become increasingly prom...
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06/10/2022
Persistent Homology for Resource Coverage: A Case Study of Access to Polling Sites
It is important to choose the geographical distribution of public resour...
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01/18/2022
A Non-Expert's Introduction to Data Ethics for Mathematicians
I give a short introduction to data ethics. My focal audience is mathema...
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12/21/2021
An Extension of InfoMap to Absorbing Random Walks
InfoMap is a popular approach for detecting densely connected "communiti...
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07/19/2021
Analysis of Spatiotemporal Anomalies Using Persistent Homology: Case Studies with COVID-19 Data
We develop a method for analyzing spatiotemporal anomalies in geospatial...
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06/04/2021
Popularity is linked to neural coordination: Neural evidence for an Anna Karenina principle in social networks
People differ in how they attend to, interpret, and respond to their sur...
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04/01/2021
Topological Data Analysis of Spatial Systems
In this chapter, we discuss applications of topological data analysis (T...
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02/13/2021
Learning low-rank latent mesoscale structures in networks
It is common to use networks to encode the architecture of interactions ...
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07/15/2020
Motifs for processes on networks
The study of motifs in networks can help researchers uncover links betwe...
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06/30/2020
Mixed Logit Models and Network Formation
The study of network formation is pervasive in economics, sociology, and...
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06/18/2020
A unified framework for equivalences in social networks
A key concern in network analysis is the study of social positions and r...
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04/13/2020
Connecting the Dots: Discovering the "Shape" of Data
Scientists use a mathematical subject called 'topology' to study the sha...
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01/07/2020
Spatial Applications of Topological Data Analysis: Cities, Snowflakes, Random Structures, and Spiders Spinning Under the Influence
Spatial networks are ubiquitous in social, geographic, physical, and bio...
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08/26/2019
Role Detection in Bicycle-Sharing Networks Using Multilayer Stochastic Block Models
Urban spatial networks are complex systems with interdependent roles of ...
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08/11/2019
Edge Correlations in Multilayer Networks
Many recent developments in network analysis have focused on multilayer ...
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06/14/2019
Supracentrality Analysis of Temporal Networks with Directed Interlayer Coupling
We describe centralities in temporal networks using a supracentrality fr...
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01/29/2019
Persistent Homology of Geospatial Data: A Case Study with Voting
A crucial step in the analysis of persistent homology is transformation ...
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12/31/2018
Pull out all the stops: Textual analysis via punctuation sequences
Whether enjoying the lucid prose of a favorite author or slogging throug...
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11/15/2018
Multivariate Spatiotemporal Hawkes Processes and Network Reconstruction
There is often latent network structure in spatial and temporal data and...
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06/07/2018
Stochastic Block Models are a Discrete Surface Tension
Networks, which represent agents and interactions between them, arise in...
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05/31/2018
Effect of antipsychotics on community structure in functional brain networks
Schizophrenia, a mental disorder that is characterized by abnormal socia...
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09/24/2017
Counterparty credit limits: An effective tool for mitigating counterparty risk?
A counterparty credit limit (CCL) is a limit imposed by a financial inst...
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11/30/2012
