P. Pattison
Statistical and Nonlinear Physics · Soc. Networks · 2000–2013
A researcher in the Science corpus: 12 papers; trusts 24 researchers and is trusted by 38 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 42 citations into it; #434 of 10,127 by trust here, #375 by citations
- Statistics and Probability — 21 citations into it
- Sociology and Political Science — 12 citations into it; #3,016 of 22,756 by trust here, #6,087 by citations
- Experimental and Cognitive Psychology — 9 citations into it
- Algorithms & Complexity — 7 citations into it
- Geometry and Topology — 7 citations into it; #1,181 of 7,422 by trust here, #825 by citations
- Graph Learning — 6 citations into it
- Management Science and Operations Research — 6 citations into it; #4,439 of 11,946 by trust here, #2,016 by citations
Whom P. Pattison trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tom A. B. Snijders
- Julian Besag
- Garry Robins
- David R. Hunter
- Jie Wu
- Duncan J. Watts
- Mark S. Handcock
- Paul Holland
- Mark S. Granovetter
- Alan M. Frieze
Who trusts P. Pattison overall
- Garry Robins
- David R. Hunter
- Carter T. Butts
- Peng Wang
- Mark S. Handcock
- Tom A. B. Snijders
- Steven M. Goodreau
- Ji Youn Kim
- Noshir S. Contractor
- Sameer B. Srivastava
Papers from P. Pattison's perspective
Ordered by how strongly the researchers P. Pattison trusts endorse each paper. Same corpus, a different order for every researcher.
- Social Network Analysis: Methods and Applications
- Markov Chain Monte Carlo Estimation of Exponential Random Graph Models (Journal of Social Structure)
- Statistical mechanics of complex networks
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- 9. Neighborhood-Based Models for Social Networks
- Statistical Analysis of Non-Lattice Data
- Advances in exponential random graph (p*) models applied to a large social network (Soc. Networks)
- Theory of point estimation
- Networks, Dynamics, and the Small‐World Phenomenon1
- The statistical evaluation of social network dynamics
Their papers
- An introduction to exponential random graph (p*) models for social networks (2007) — 2,078 citations
- Closure, connectivity and degree distributions: Exponential random graph (p*) models for directed social networks (2009) — 320 citations
- 9. Neighborhood-Based Models for Social Networks (2002) — 310 citations
- Exponential random graph models for multilevel networks (2013) — 334 citations
- Statistical Models for Social Networks (2000) — 206 citations
- Young Children's Understanding of Addition Concepts (2002) — 88 citations
- Developing generic skills through university study: a study of arts, science and engineering in Australia (2010) — 135 citations
- Recent developments in exponential random graph (p*) models for social networks (2007) — 864 citations
- New Specifications for Exponential Random Graph Models (2006) — 1,512 citations
- Identification of five fundamental implicit theories underlying cognitive distortions in child abusers: A preliminary study (2006) — 118 citations
- Dynamic Social Network Modeling and Analysis: Workshop Summary and Papers (2004) — 473 citations
- Emotion recognition via facial expression and affective prosody in schizophrenia: a methodological review. (2002) — 785 citations