Collective decision dynamics in the presence of external drivers

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Author
Bassett, Danielle S.
Alderson, David L.
Carlson, Jean M.
Date
2012Metadata
Show full item recordAbstract
We develop a sequence of models describing information transmission and decision dynamics for a network
of individual agents subject to multiple sources of influence. Our general framework is set in the context of an
impending natural disaster, where individuals, represented by nodes on the network, must decide whether or not
to evacuate. Sources of influence include a one-to-many externally driven global broadcast as well as pairwise
interactions, across links in the network, in which agents transmit either continuous opinions or binary actions.
We consider both uniform and variable threshold rules on the individual opinion as baseline models for decision
making. Our results indicate that (1) social networks lead to clustering and cohesive action among individuals,
(2) binary information introduces high temporal variability and stagnation, and (3) information transmission over
the network can either facilitate or hinder action adoption, depending on the influence of the global broadcast
relative to the social network. Our framework highlights the essential role of local interactions between agents in
predicting collective behavior of the population as a whole.
Description
Physical Review E 86, 036105.
The article of record as published may be located at http://dx.doi.org/10.1103/PhysRevE.86.036105
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.Collections
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