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Network theory

About: Network theory is a research topic. Over the lifetime, 2257 publications have been published within this topic receiving 109864 citations.


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Journal ArticleDOI
TL;DR: This analysis shows that by prioritizing ecosystem management based on the network-wide impact of species protection rather than species loss, this work can substantially improve conservation outcomes.
Abstract: Food-web theory can be a powerful guide to the management of complex ecosystems. However, we show that indices of species importance common in food-web and network theory can be a poor guide to ecosystem management, resulting in significantly more extinctions than necessary. We use Bayesian Networks and Constrained Combinatorial Optimization to find optimal management strategies for a wide range of real and hypothetical food webs. This Artificial Intelligence approach provides the ability to test the performance of any index for prioritizing species management in a network. While no single network theory index provides an appropriate guide to management for all food webs, a modified version of the Google PageRank algorithm reliably minimizes the chance and severity of negative outcomes. Our analysis shows that by prioritizing ecosystem management based on the network-wide impact of species protection rather than species loss, we can substantially improve conservation outcomes.

87 citations

Proceedings ArticleDOI
14 Jan 2015
TL;DR: This paper equips signal flow graphs with a structural operational semantics, and classifies the ways in which any graph can be realised -- rewritten, using the graphical theory, into an executable form where the operational behavior and the denotation coincides.
Abstract: Network theory uses the string diagrammatic language of monoidal categories to study graphical structures formally, eschewing specialised translations into intermediate formalisms. Recently, there has been a concerted research focus on developing a network theoretic approach to signal flow graphs, which are classical structures in control theory, signal processing and a cornerstone in the study of feedback. In this approach, signal flow graphs are given a relational denotational semantics in terms of formal power series. Thus far, the operational behaviour of such signal flow graphs has only been discussed at an intuitive level. In this paper we equip them with a structural operational semantics. As is typically the case, the purely operational picture is too concrete -- two graphs that are denotationally equal may exhibit different operational behaviour. We classify the ways in which this can occur and show that any graph can be realised -- rewritten, using the graphical theory, into an executable form where the operational behavior and the denotation coincides.

86 citations

Journal ArticleDOI
TL;DR: Preliminary results show that certain environmental and firm-level factors may impact the eventual evolution of such structures and this methodology allows the spontaneous generation of network structures so that it is possible to examine the potential factors behind the evolution of different SN topologies.
Abstract: Supply chains, or supply networks (SNs), exist in a multitude of different topologies, yet little is known concerning how such topologies grow, evolve, and adapt over time. To study this complex phenomenon, we begin by identifying some primary topological structures that SNs may form. Then, to investigate the evolution of such structures, a theory-based framework is developed that combines aspects of complex adaptive systems theory, industrial growth theory, network theory, market structure, and game theory. This framework specifies categories of rules that may evoke different behaviors in the two fundamental components of any adaptive SN, i.e., the environment and the Arms in that environment. The framework is implemented as a multiparadigm simulation utilizing software agents and it joins discrete-time with discrete-event simulation formalisms. This methodology allows the spontaneous generation of network structures so that it is possible to examine the potential factors behind the evolution of different SN topologies. Using data and parameters extracted from 80 years of the U.S. automobile industry, we have been able to "grow" a wide range of SN topologies and preliminary results show that certain environmental and firm-level factors may impact the eventual evolution of such structures.

86 citations

Journal ArticleDOI
TL;DR: The theoretical results and the modelling show that single-point measurements for the localization of distortion-producing sources are not practical when these sources are distributed over the network.
Abstract: This paper extends the underlying network theory defining the direction of harmonic power in single-phase systems to three-phase systems. By employing symmetrical component theory for multi-frequency systems, zero-, positive- and negative-phase sequence components may be considered separately. However, the theoretical results and the modelling show that single-point measurements for the localization of distortion-producing sources are not practical when these sources are distributed over the network.

85 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202319
202240
202175
2020109
201989
2018115