GENERATING STRUCTURE SPECIFIC NETWORKS

N. Hȧkansson (), A. Jonsson (), J. Lennartsson (), T. Lindström () and U. Wennergren ()
Additional contact information
N. Hȧkansson: Systems Biology Research Centre, Skövde University, Box 408, 541 28 Skövde, Sweden
A. Jonsson: Systems Biology Research Centre, Skövde University, Box 408, 541 28 Skövde, Sweden
J. Lennartsson: Systems Biology Research Centre, Skövde University, Box 408, 541 28 Skövde, Sweden
T. Lindström: IFM Therory and Modeling, Linköping University, 581 83 Linköping, Sweden
U. Wennergren: IFM Therory and Modeling, Linköping University, 581 83 Linköping, Sweden

Advances in Complex Systems (ACS), 2010, vol. 13, issue 02, 239-250

Abstract: Theoretical exploration of network structure significance requires a range of different networks for comparison. Here, we present a new method to construct networks in a spatial setting that uses spectral methods in combination with a probability distribution function. Nearly all previous algorithms for network construction have assumed randomized distribution of links or a distribution dependent on the degree of the nodes. We relax those assumptions. Our algorithm is capable of creating spectral networks along a gradient from random to highly clustered or diverse networks. Number of nodes and link density are specified from start and the structure is tuned by three parameters (γ, σ, κ). The structure is measured by fragmentation, degree assortativity, clustering and group betweenness of the networks. The parameter γ regulates the aggregation in the spatial node pattern and σ and κ regulates the probability of link forming.

Keywords: Network; spectral; assortativity; fragmentation; clustering; betweenness centralization; spatial network; network algorithm (search for similar items in EconPapers)
Date: 2010
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219525910002517
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:acsxxx:v:13:y:2010:i:02:n:s0219525910002517

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219525910002517

Access Statistics for this article

Advances in Complex Systems (ACS) is currently edited by Frank Schweitzer

More articles in Advances in Complex Systems (ACS) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().