DocumentCode :
2476807
Title :
Heat Flow-Thermodynamic Depth Complexity in Networks
Author :
Escolano, Francisco ; Lozano, Miguel A. ; Hancock, Edwin R.
Author_Institution :
Univ. of Alicante, Alicante, Spain
fYear :
2010
fDate :
23-26 Aug. 2010
Firstpage :
1578
Lastpage :
1581
Abstract :
In this paper we establish a formal link between network complexity in terms of Birkhoff-von Newmann decompositions and heat flow complexity (in terms of quantifying the heat flowing through the network at a given inverse temperature). Furthermore, we also define heat flow complexity in terms of thermodynamic depth, which results in a novel approach for characterizing networks and quantify their complexity. In our experiments we characterize several protein-protein interaction (PPI) networks and then highlight their evolutive differences.
Keywords :
biology computing; computational complexity; heat transfer; network theory (graphs); thermodynamics; Birkhoff von Newmann decompositions; heat flow thermodynamic depth complexity; network complexity; protein-protein interaction networks; thermodynamic depth; Complexity theory; Entropy; Heating; History; Kernel; Thermodynamics; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
ISSN :
1051-4651
Print_ISBN :
978-1-4244-7542-1
Type :
conf
DOI :
10.1109/ICPR.2010.390
Filename :
5595758
Link To Document :
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