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Structural and Dynamical Heterogeneity in Ecological Networks
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Author(s): Ferenc Jordán (The Microsoft Research – University of Trento, Centre for Computational and Systems Biology, Trento, Italy), Carmen Maria Livi (The Microsoft Research – University of Trento, Centre for Computational and Systems Biology, Trento, Italy)and Paola Lecca (The Microsoft Research – University of Trento, Centre for Computational and Systems Biology, Trento, Italy)
Copyright: 2012
Pages: 22
Source title:
Systemic Approaches in Bioinformatics and Computational Systems Biology: Recent Advances
Source Author(s)/Editor(s): Paola Lecca (The Microsoft Research – University of Trento, Centre for Computational and Systems Biology, Italy), Dan Tulpan (National Research Council of Canada, Canada)and Kanagasabai Rajaraman (Institute for Infocomm Research, Singapore)
DOI: 10.4018/978-1-61350-435-2.ch007
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Abstract
Diversity is a key feature of biological systems. In complex ecological systems, which are composed of several components and multiple parallel interactions among them, it is increasingly needed to precisely understand structural and dynamical variability among components. This variability is the basis of adaptability and evolvability in nature, as well as adaptive management-based applications. The authors discuss how to quantify and characterize the structural and dynamical variability in ecological networks. They perform network analysis in order to quantify structure and we provide a process algebra-based stochastic simulation model and sensitivity analysis for better understanding the dynamics of the studied ecological system. They use a large, data-rich, real ecological network for illustration.
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