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researcher

M. Porter

87 papers hereh-index 6824.8k citations320 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author3
  • first author12
  • middle author35
  • last author36

Across the 86 of 87 papers where every author was matched, so the position is known.

fields
  • cs.SI19
  • physics.soc-ph15
  • nlin.PS13
  • nlin.CD9
  • math.DS4
  • math.HO3
same name
  • M. Porter — 6 papers, h 7
  • M. Porter — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20012026
most citedCommunity Structure in Congressional Cosponsorship Networks

164 citations · 792 across the 41 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.SI2021

Popular individuals process the world in particularly normative ways

Elisa C. Baek, Ryan Hyon, Karina López +3

People differ in how they attend to, interpret, and respond to their surroundings. Convergent processing of the world may be one factor that contributes to social connections betwe…

nlin.AO2021

Detection of Functional Communities in Networks of Randomly Coupled Oscillators Using the Dynamic-Mode Decomposition

Christopher W. Curtis, Mason A. Porter

Dynamic-mode decomposition (DMD) is a versatile framework for model-free analysis of time series that are generated by dynamical systems. We develop a DMD-based algorithm to invest…

nlin.PS2021

Nanoptera in weakly nonlinear woodpile and diatomic granular chains

Guo Deng, Christopher J. Lustri, Mason A. Porter

We study ``nanoptera'', which are non-localized solitary waves with exponentially small but non-decaying oscillations, in two singularly-perturbed Hertzian chains with precompressi…

cs.SI2021

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.