Per Block

Statistical and Nonlinear Physics · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Per Block trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Tom A. B. Snijders

Papers from Per Block's perspective

Ordered by how strongly the researchers Per Block trusts endorse each paper. Same corpus, a different order for every researcher.

  1. New Specifications for Exponential Random Graph Models
  2. Introduction to stochastic actor-based models for network dynamics (Soc. Networks)
  3. Exponential random graph models for multilevel networks (Soc. Networks)
  4. How will country-based mitigation measures influence the course of the COVID-19 epidemic? (The Lancet)
  5. Association of Public Health Interventions With the Epidemiology of the COVID-19 Outbreak in Wuhan, China. (Journal of the American Medical Association (JAMA))
  6. Presumed Asymptomatic Carrier Transmission of COVID-19. (Journal of the American Medical Association (JAMA))
  7. Markov Chain Monte Carlo Estimation of Exponential Random Graph Models (Journal of Social Structure)
  8. Social Network Analysis: Methods and Applications
  9. 9. Neighborhood-Based Models for Social Networks
  10. An introduction to exponential random graph (p*) models for social networks

Their papers