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P. Dodds

101 papers hereh-index 4715.8k citations176 works total

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

author position
  • sole author3
  • first author23
  • middle author31
  • last author41

Across the 98 of 101 papers where every author was matched, so the position is known.

fields
  • physics.soc-ph44
  • cs.CL18
  • cs.SI14
  • cond-mat.dis-nn5
  • cs.CY4
  • nlin.CD3
same name
  • P. Dodds — 33 papers, h 4
  • P. Dodds — 23 papers, h 17
  • P. Dodds — 2 papers, h 19
  • P. Dodds — 1 paper, h 12
  • P. Dodds — 1 paper
  • P. Dodds — 1 paper, h 31

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
19982026
most citedIdentity and Search in Social Networks

1.1k citations · 6.8k across the 96 of their papers we have counts for

collaborators
Showing 2016 · physics.soc-phShow all

3 papers · 2 filters

physics.soc-ph2016

Forecasting the onset and course of mental illness with Twitter data

Andrew G. Reece, Andrew J. Reagan, Katharina L. M. Lix +3

We developed computational models to predict the emergence of depression and Post-Traumatic Stress Disorder in Twitter users. Twitter data and details of depression history were co…

physics.soc-ph2016★ 15 cited

Public Opinion Polling with Twitter

Emily M. Cody, Andrew J. Reagan, Peter Sheridan Dodds +1

Solicited public opinion surveys reach a limited subpopulation of willing participants and are expensive to conduct, leading to poor time resolution and a restricted pool of expert…

physics.soc-ph2016★ 15 cited

Simon's fundamental rich-get-richer model entails a dominant first-mover advantage

Peter Sheridan Dodds, David Rushing Dewhurst, Fletcher F. Hazlehurst +5

Herbert Simon's classic rich-get-richer model is one of the simplest empirically supported mechanisms capable of generating heavy-tail size distributions for complex systems. Simon…

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