activity
20192023
most citedSpatial Applications of Topological Data Analysis: Cities, Snowflakes, Random Structures, and Spiders Spinning Under the Influence

36 citations · 49 across the 6 of their papers we have counts for

collaborators

7 papers

math.DS2023★ 2 cited

Repulsive Bounded-Confidence Model of Opinion Dynamics in Polarized Communities

Claudia Kann, Michelle Feng

Collective opinions affect civic participation, governance, and societal norms. Due to the influence of opinion dynamics, many models of their formation and evolution have been dev…

physics.soc-ph2021

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…

cs.SI2021★ 3 cited

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…

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…

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…

cs.SI2020★ 36 cited

Spatial Applications of Topological Data Analysis: Cities, Snowflakes, Random Structures, and Spiders Spinning Under the Influence

Michelle Feng, Mason A. Porter

Spatial networks are ubiquitous in social, geographical, physical, and biological applications. To understand the large-scale structure of networks, it is important to develop meth…

cs.CG2019★ 7 cited

Persistent Homology of Geospatial Data: A Case Study with Voting

Michelle Feng, Mason A. Porter

A crucial step in the analysis of persistent homology is the transformation of data into an appropriate topological object (in our case, a simplicial complex). Modern packages for…