Effects of the topology of social networks on information transmission
Effects of the topology of social networks on information transmission
Social behaviours cannot be fully understood without considering the network structures that underlie them. Developments in network theory provide us with relevant modelling tools. The topology of social networks may be due to selection for information transmission. To investigate this, we generated network topologies with varying proportions of random connections and degrees of preferential attachment. We simulated two social tasks on these networks: a spreading innovation model and a simple market. Results indicated that non-zero levels of random connections and low levels of preferential attachment led to more efficient information transmission. Theoretical and practical implications are discussed.
395-404
Noble, J.
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Davy, S.
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Franks, D. W.
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2004
Noble, J.
440f07ba-dbb8-4d66-b969-36cde4e3b764
Davy, S.
1eb5b724-5245-40ae-aad1-877fbb8f6c0d
Franks, D. W.
17cbd58d-8700-48e2-9a5d-f597f9cbdca0
Noble, J., Davy, S. and Franks, D. W.
(2004)
Effects of the topology of social networks on information transmission.
Schaal, S., Ijspeert, A. J., Billard, A. and Vijayakumar, S.
(eds.)
In From Animals to Animats 8: Proceedings of the Eighth International Conference on Simulation of Adaptive Behavior.
MIT Press.
.
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Conference or Workshop Item
(Paper)
Abstract
Social behaviours cannot be fully understood without considering the network structures that underlie them. Developments in network theory provide us with relevant modelling tools. The topology of social networks may be due to selection for information transmission. To investigate this, we generated network topologies with varying proportions of random connections and degrees of preferential attachment. We simulated two social tasks on these networks: a spreading innovation model and a simple market. Results indicated that non-zero levels of random connections and low levels of preferential attachment led to more efficient information transmission. Theoretical and practical implications are discussed.
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sabNetTopology.pdf
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Published date: 2004
Organisations:
Agents, Interactions & Complexity
Identifiers
Local EPrints ID: 265249
URI: http://eprints.soton.ac.uk/id/eprint/265249
PURE UUID: 4114c577-4740-4d41-989d-1fe61b0dbfcd
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Date deposited: 03 Mar 2008 22:08
Last modified: 14 Mar 2024 08:05
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Contributors
Author:
J. Noble
Author:
S. Davy
Author:
D. W. Franks
Editor:
S. Schaal
Editor:
A. J. Ijspeert
Editor:
A. Billard
Editor:
S. Vijayakumar
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