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researcher

M. Newman

40 papers hereh-index 74131.1k citations174 works total

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

author position
  • sole author10
  • first author3
  • middle author3
  • last author21

Across the 37 of 40 papers where every author was matched, so the position is known.

fields
  • cond-mat.stat-mech13
  • cs.SI12
  • physics.soc-ph5
  • physics.data-an4
  • adap-org2
  • cond-mat.dis-nn2
same name
  • M. Newman — 17 papers, h 30
  • M. Newman — 7 papers, h 29
  • M. Newman — 6 papers, h 10
  • M. Newman — 3 papers, h 9
  • M. Newman — 1 paper, h 14
  • M. Newman — 1 paper, h 4

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
19982020
most citedModularity and community structure in networks

12.4k citations · 24.5k across the 18 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.SI2018

Mixing patterns and individual differences in networks

George T. Cantwell, M. E. J. Newman

We study mixing patterns in networks, meaning the propensity for nodes of different kinds to connect to one another. The phenomenon of assortative mixing, whereby nodes prefer to c…

cs.SI2018

Balance in signed networks

Alec Kirkley, George T. Cantwell, M. E. J. Newman

We consider signed networks in which connections or edges can be either positive (friendship, trust, alliance) or negative (dislike, distrust, conflict). Early literature in graph…

cs.SI2018

Aspirational pursuit of mates in online dating markets

Elizabeth E. Bruch, M. E. J. Newman

Romantic courtship is often described as taking place in a dating market where men and women compete for mates, but the detailed structure and dynamics of dating markets have histo…

cs.SI2018

Estimating network structure from unreliable measurements

M. E. J. Newman

Most empirical studies of networks assume that the network data we are given represent a complete and accurate picture of the nodes and edges in the system of interest, but in real…

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