217 citations · 353 across the 40 of their papers we have counts for
7 papers · 1 filter
An adaptation of InfoMap to absorbing random walks using absorption-scaled graphs
Esteban Vargas Bernal, Mason A. Porter, Joseph H. Tien
InfoMap is a popular approach to detect densely connected "communities" of nodes in networks. To detect such communities, InfoMap uses random walks and ideas from information theor…
An Adaptive Bounded-Confidence Model of Opinion Dynamics on Networks
Unchitta Kan, Michelle Feng, Mason A. Porter
Individuals who interact with each other in social networks often exchange ideas and influence each other's opinions. A popular approach to study the spread of opinions on networks…
A Multilayer Network Model of the Coevolution of the Spread of a Disease and Competing Opinions
Kaiyan Peng, Zheng Lu, Vanessa Lin +5
During the COVID-19 pandemic, conflicting opinions on physical distancing swept across social media, affecting both human behavior and the spread of COVID-19. Inspired by such phen…
Analysis of Spatial and Spatiotemporal Anomalies Using Persistent Homology: Case Studies with COVID-19 Data
Abigail Hickok, Deanna Needell, Mason A. Porter
We develop a method for analyzing spatial and spatiotemporal anomalies in geospatial data using topological data analysis (TDA). To do this, we use persistent homology (PH), which…
Topological Data Analysis of Spatial Systems
Michelle Feng, Abigail Hickok, Mason A. Porter
In this chapter, we discuss applications of topological data analysis (TDA) to spatial systems. We briefly review the recently proposed level-set construction of filtered simplicia…
Learning low-rank latent mesoscale structures in networks
Hanbaek Lyu, Yacoub H. Kureh, Joshua Vendrow +1
It is common to use networks to encode the architecture of interactions between entities in complex systems in the physical, biological, social, and information sciences. To study…