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SpecNet :
SpecNet : A Spatial Network Algorithm that Generates a Wide Range of Specific Structures
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- Lennartsson, Jenny (författare)
- Högskolan i Skövde,Institutionen för vård och natur,Forskningscentrum för Systembiologi,Systems Biology Research Centre, Skövde University, Skövde, Sweden
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- Håkansson, Nina (författare)
- Linköpings universitet,Högskolan i Skövde,Institutionen för vård och natur,Forskningscentrum för Systembiologi,Department of Physics and Measurement Technology, Biology and Chemistry, Theory and Modelling, Linköping University, Linköping, Sweden,Teoretisk Biologi,Tekniska högskolan
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- Wennergren, Uno (författare)
- Linköpings universitet,Teoretisk Biologi,Tekniska högskolan
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- Jonsson, Annie (författare)
- Högskolan i Skövde,Institutionen för vård och natur,Forskningscentrum för Systembiologi,Systems Biology Research Centre, Skövde University, Skövde, Sweden
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(creator_code:org_t)
- 2012-08-02
- 2012
- Engelska.
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Ingår i: PLOS ONE. - : Public Library of Science. - 1932-6203. ; 7:8
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Abstract
Ämnesord
Stäng
- Network measures are used to predict the behavior of different systems. To be able to investigate how various structures behave and interact we need a wide range of theoretical networks to explore. Both spatial and non-spatial methods exist for generating networks but they are limited in the ability of producing wide range of network structures. We extend an earlier version of a spatial spectral network algorithm to generate a large variety of networks across almost all the theoretical spectra of the following network measures: average clustering coefficient, degree assortativity, fragmentation index, and mean degree. We compare this extended spatial spectral network-generating algorithm with a non-spatial algorithm regarding their ability to create networks with different structures and network measures. The spatial spectral networkgenerating algorithm can generate networks over a much broader scale than the non-spatial and other known network algorithms. To exemplify the ability to regenerate real networks, we regenerate networks with structures similar to two real Swedish swine transport networks. Results show that the spatial algorithm is an appropriate model with correlation coefficients at 0.99. This novel algorithm can even create negative assortativity and managed to achieve assortativity values that spans over almost the entire theoretical range.
Ämnesord
- NATURVETENSKAP -- Biologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences (hsv//eng)
Nyckelord
- Natural sciences
- Naturvetenskap
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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