Browse by author
Lookup NU author(s): Dr Jennifer Hallinan
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
We analyse a suite of Boolean networks which have been evolved to exhibit limit cycle-type dynamics in terms of the distribution of small network motifs and feedback loops. We find that asynchronously updated Boolean networks can be evolved to exhibit fuzzy limit cycle dynamics without significant changes to the number of nodes and links in the network. Analysis of all possible triads of nodes in the networks and all feedback loops of length one to eight reveal no significant differences between the evolved and unevolved networks. We conclude that the reductionist, motif-based approach to network analysis may be inadequate to full understanding of network dynamics, and that some dynamic behaviour is an emergent property of complex networks as a whole.
Author(s): Hallinan JS, Jackway PT
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)
Year of Conference: 2005
Pages: 90-96
Publisher: IEEE
URL: http://ieeexplore.ieee.org/search/srchabstract.jsp
Notes: Best paper award.
Library holdings: Search Newcastle University Library for this item
ISBN: 0780393872
