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Mark E. J. Newman

4 papers hereh-index 343 citations3 works total

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

author position
  • sole author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.SI2
  • physics.soc-ph1
  • stat.ML1
same name
  • Mark E. J. Newman — 3 papers, h 2
  • Mark E. J. Newman — 2 papers, 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
20222024
most citedLuck, skill, and depth of competition in games and social hierarchies

8 citations · 29 across the 4 of their papers we have counts for

collaborators

4 papers

cs.SI2024★ 5 cited

Mutual information and the encoding of contingency tables

Maximilian Jerdee, Alec Kirkley, M. E. J. Newman

Mutual information is commonly used as a measure of similarity between competing labelings of a given set of objects, for example to quantify performance in classification and comm…

physics.soc-ph2023★ 8 cited

Luck, skill, and depth of competition in games and social hierarchies

Maximilian Jerdee, M. E. J. Newman

Patterns of wins and losses in pairwise contests, such as occur in sports and games, consumer research and paired comparison studies, and human and animal social hierarchies, are c…

cs.SI2023★ 8 cited

Normalized mutual information is a biased measure for classification and community detection

Maximilian Jerdee, Alec Kirkley, M. E. J. Newman

Normalized mutual information is widely used as a similarity measure for evaluating the performance of clustering and classification algorithms. In this paper, we argue that result…

stat.ML2022★ 8 cited

Efficient computation of rankings from pairwise comparisons

M. E. J. Newman

We study the ranking of individuals, teams, or objects, based on pairwise comparisons between them, using the Bradley-Terry model. Estimates of rankings within this model are commo…

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