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An Experimental Study of the Coloring Problem on Human Subject Networks
Abstract
Theoretical work suggests that structural properties of naturally occurring networks are important in shaping behavior and dynamics. However, the relationships between structure and behavior are difficult to establish through empirical studies, because the networks in such studies are typically fixed. We studied networks of human subjects attempting to solve the graph or network coloring problem, which models settings in which it is desirable to distinguish one's behavior from that of one's network neighbors. Networks generated by preferential attachment made solving the coloring problem more difficult than did networks based on cyclical structures, and “small worlds” networks were easier still. We also showed that providing more information can have opposite effects on performance, depending on network structure.
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Emergence of Scaling in Random Networks
Barabási, A.-L., & Albert, R. (1999) · Science · doi:10.1126/science.286.5439.509 · Cited by 36,135
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Centola, D. (2010) · Science · doi:10.1126/science.1185231 · Cited by 2,692
A dual-networks architecture of top-down control
Dosenbach, N. U. F., Fair, D. A., Cohen, A. L., Schlaggar, B. L., & Petersen, S. E. (2008) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2008.01.001 · Cited by 1,931
Kittur, A., Nickerson, J. V., Bernstein, M., Gerber, E., Shaw, A., Zimmerman, J., Lease, M., & Horton, J. (2013) · Proceedings of the 2013 conference on Computer supported cooperative work · doi:10.1145/2441776.2441923 · Cited by 1,034
A Survey of Statistical Network Models
Goldenberg, A., Zheng, A. X., Fienberg, S. E., & Airoldi, E. M. (2010) · Foundations and Trends® in Machine Learning · doi:10.1561/2200000005 · Cited by 819
Cooperative behavior cascades in human social networks
Fowler, J. H., & Christakis, N. A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0913149107 · Cited by 767
Metadata
- Authors
- Kearns, M., Suri, S., & Montfort, N.
- Venue
- Science
- Published
- 2006-08-11
- Volume
- 313
- Issue
- 5788
- Pages
- 824-827
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2044225472
- Cited by
- 269
- References
- 1
- FWCI
- 7.56
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
