8. Comparing Networks across Space and Time, Size and Species

By Katherine Faust, John Skvoretz. 2002

190 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Social Psychology, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/5f7a7700732044892d1b37906639d7e114651fef

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology, Evolution, Behavior and Systematics

1. Richard James
2. Darren P. Croft
3. Jens Krause
4. Daniel T. Blumstein
5. Hal Whitehead
6. Damien Farine
7. Marc A. Smith
8. Cornelis J. Stam

In Social Psychology

1. Darren P. Croft
2. Richard James
3. Jens Krause
4. Marc A. Smith
5. Cornelis J. Stam
6. Daniel T. Blumstein
7. James H. Fowler
8. Andreas Daffertshofer

In Statistical and Nonlinear Physics

1. Darren P. Croft
2. Cornelis J. Stam
3. Bruce A. Desmarais
4. Skyler J. Cranmer
5. Richard James
6. Jens Krause
7. Marc A. Smith
8. Daniel T. Blumstein

Citations in the corpus

• Social network analysis of animal behaviour : a promising tool for the study of sociality (2008, background): “Thus, they may be useful for comparative studies (Faust & Skvoretz 2002; but see also Faust 2006 for issues that arise when comparing networks with very different sizes and densities).”
• Legislative cosponsorship networks in the US House and Senate (2006, methodology): “Faust and Skvoretz (2002) utilize Burkett's data to compare the Senate cosponsorship network with social networks from other species.”
• Inferential Network Analysis with Exponential Random Graph Models (2011, methodology): “MCMC estimation has been favored in recent analyses, though not without exception (see e.g. Faust and Skvoretz (2002), Saul and Filkov (2007) and Danny, Choudhury and Bilmes (2009)). van Duijn, Gile and Handcock (2009) perform a Monte Carlo experiment to compare pseudolikelihood and MCMC methods;…”
• Potential banana skins in animal social network analysis (2009, background): “Croft et al. (2008) suggest some simple ways around the comparison problem, and also point to the social sciences literature (for example Faust and Skvoretz 2002) where there has been much more of an effort to facilitate statistically robust network comparisons, though not with complete success so…”
• Comparing Brain Networks of Different Size and Connectivity Density Using Graph Theory (2010, methodology): “…been determined for all empirical networks, either parameter values could be directly compared between networks, or when dealing with multiple networks, the resemblance between networks could be investigated by comparing predicted probabilities based on parameter values from other networks [59].”
• Visualizing the Signatures of Social Roles in Online Discussion Groups (2007, methodology): “The distinctive structural features associated with a social role can be thought of as “structural signatures” (Faust and Skvoretz 2002; Skvoretz and Faust 2002).”