activity
20192021
most citedFitting In and Breaking Up: A Nonlinear Version of Coevolving Voter Models

12 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SI2021

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…

cs.SI2021★ 1 cited

A Bounded-Confidence Model of Opinion Dynamics on Hypergraphs

Abigail Hickok, Yacoub Kureh, Heather Z. Brooks +2

People's opinions evolve over time as they interact with their friends, family, colleagues, and others. In the study of opinion dynamics on networks, one often encodes interactions…

q-bio.OT2020

Disease Detectives: Using Mathematics to Forecast the Spread of Infectious Diseases

Heather Z. Brooks, Unchitta Kanjanasaratool, Yacoub H. Kureh +1

The COVID-19 pandemic has led to significant changes in how people are currently living their lives. To determine how to best reduce the effects of the pandemic and start reopening…

math.HO2020

Connecting the Dots: Discovering the "Shape" of Data

Michelle Feng, Abigail Hickok, Yacoub H. Kureh +2

Scientists use a mathematical subject called 'topology' to study the shapes of objects. An important part of topology is counting the numbers of pieces and holes in objects, and pe…

physics.soc-ph2019★ 12 cited

Fitting In and Breaking Up: A Nonlinear Version of Coevolving Voter Models

Yacoub H. Kureh, Mason A. Porter

We investigate a nonlinear version of coevolving voter models, in which node states and network structure update as a coupled stochastic dynamical process. Most prior work on coevo…