An Experimental Study of the Coloring Problem on Human Subject Networks

By Michael Kearns, Siddharth Suri, Nick Montfort. 2006

312 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Statistical and Nonlinear Physics

How researchers see this paper

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

In Experimental and Cognitive Psychology

In Statistical and Nonlinear Physics

Citations in the corpus

Inferring networks of diffusion and influence (2010, background): “Given the times when nodes adopt pieces of information or become infected, we identify the optimal network that best explains the observed infection times.”
Cooperative behavior cascades in human social networks (2009, background): “However, this theoretical literature has not explored whether cooperative behavior actually spreads across ties in human social networks, and recent experimental work has tended to focus on coordination rather than cooperation (12, 13).”
Inﬂuentials, Networks, and Public Opinion Formation (background): “Finally, a small number of human subjects experiments (Kearns, Suri, and Montfort 2006; Latane´ and L’Herrou 1996) have shed light on the relationship between network structure and group coordination processes.”
Behavioral dynamics and influence in networked coloring and consensus (2010, background): “The model has a single parameter, a probability q G [0,1].”
The Spread of Behavior in an Online Social Network Experiment (2010, unknown): “org/cgi/content/full/329/5996/1194 (12).”
Behavioral dynamics and influence in networked coloring and consensus (2011, methodology): “Experimental Methodology The work described here continues a line of research at the University of Pennsylvania in controlled human-subject experiments on strategic behavior in social networks (1, 9, 13).”
Web-based experiments for the study of collective social dynamics in cultural markets (2009, unknown): “…extensively by psychologists, economists, and sociologists for at least 70 years (Asch, 1956; Coleman, Katz, & Menzel, 1957; Crutchfield, 1955; Deutsch & Gerard, 1955; Katz & Lazarsfeld, 1955; Kelley & Thibaut, 1978; Leibenstein, 1950; Luce & Raiffia, 1957; Sherif, 1936; Thibaut & Kelley, 1959).”
Inferring Networks of Diffusion and Influence (2012, background): “While it is often possible to directly observe when nodes become infected with a virus or publish the information, observing individual transmissions (who infects whom, or who in.uences whom) is typically very dif.cult.”
Tracing information flow on a global scale using Internet chain-letter data (2008, background): “It plays a fundamental role in settings that include the spread of technological innovations (1, 2), wordof-mouth effects in marketing (3–5), the spread of news and opinion (6–8), collective problem-solving (9, 10), and sampling methods for hidden populations (11, 12).”