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institution

U.S. Army Research Institute for the Behavioral and Social Sciences

United States

4 papers here49 citations across 4
fields
  • physics.soc-ph2
  • eess.AS1
  • stat.ME1
ROR 03bq05s23OpenAlex

affiliations via OpenAlex

output
20192025
most citedExponential Random Graph models for Little Networks

45 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

  • Neil G. MacLaren3 · h 10
  • Naoki Masuda2 · h 4
  • Andrew J. Slaughter1 · h 7
  • B. Barzel1 · h 22
  • F. Yammarino1 · h 67
  • George Gerald Vega Yon1 · h 6
  • G. Ruark1 · h 22
  • Hiroki Sayama1 · h 36
  • K. Haye1 · h 8
  • M. Mumford1 · h 86
  • S. Connelly1 · h 42
  • Shelley D. Dionne1 · h 29
collaborating institutions
  • Buffalo State UniversityUS2 papers
  • United States ArmyUS2 papers
  • University at Buffalo, State University of New YorkUS2 papers
  • Bar-Ilan UniversityIL1 paper
  • Binghamton UniversityUS1 paper
  • Kobe UniversityJP1 paper
  • University of MichiganUS1 paper
  • University of OklahomaUS1 paper
  • University of Southern CaliforniaUS1 paper
Showing stat.MEShow all

1 paper · 1 filter

stat.ME2019★ 45 cited

Exponential Random Graph models for Little Networks

George G. Vega Yon, Andrew Slaughter, Kayla de la Haye

Statistical models for social networks have enabled researchers to study complex social phenomena that give rise to observed patterns of relationships among social actors and to ga…

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