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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
  • M. Newman — 7 papers, h 29
  • M. Newman — 3 papers, h 9
  • M. Newman — 1 paper, h 14
  • M. Newman — 1 paper, h 4
  • M. Newman — 1 paper

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 physics.data-anShow all

4 papers · 1 filter

physics.data-an2007★ 1.2k cited

Community structure in directed networks

E. A. Leicht, M. E. J. Newman

We consider the problem of finding communities or modules in directed networks. The most common approach to this problem in the previous literature has been simply to ignore edge d…

physics.data-an2007★ 7.7k cited

Power-law distributions in empirical data

Aaron Clauset, Cosma Rohilla Shalizi, M. E. J. Newman

Power-law distributions occur in many situations of scientific interest and have significant consequences for our understanding of natural and man-made phenomena. Unfortunately, th…

physics.data-an2006★ 569 cited

Mixture models and exploratory analysis in networks

M. E. J. Newman, E. A. Leicht

Networks are widely used in the biological, physical, and social sciences as a concise mathematical representation of the topology of systems of interacting components. Understandi…

physics.data-an2006★ 12.4k cited

Modularity and community structure in networks

M. E. J. Newman

Many networks of interest in the sciences, including a variety of social and biological networks, are found to divide naturally into communities or modules. The problem of detectin…

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