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• Network_theory_in_risk_assessment abstract "A network is an abstract structure capturing only the basics of connection patterns and little else. Because it is a generalized pattern, tools developed for analyzing, modeling and understanding networks can theoretically be implemented across disciplines. As long as a system can be represented by a network, there is an extensive set of tools – mathematical, computational, and statistical – that are well-developed and if understood can be applied to the analysis of the system of interest. Tools that are currently employed in risk assessment are often sufficient, but model complexity and limitations of computational power can tether risk assessors to involve more causal connections and account for more Black Swan event outcomes. By applying network theory tools to risk assessment, computational limitations may be overcome and result in broader coverage of events with a narrowed range of uncertainties.Decision-making processes are not incorporated into routine risk assessments; however, they play a critical role in such processes. It is therefore very important for risk assessors to minimize confirmation bias by carrying out their analysis and publishing their results with minimal involvement of external factors such as politics, media, and advocates. In reality, however, it is nearly impossible to break the iron triangle among politicians, scientists (in this case, risk assessors), and advocates and media. Risk assessors need to be sensitive to the difference between risk studies and risk perceptions. One way to bring the two closer is to provide decision-makers with data they can easily rely on and understand. Employing networks in the risk analysis process can visualize causal relationships and identify heavily-weighted or important contributors to the probability of the critical event.A \"bow-tie\" diagram, cause-and-effect diagram, Bayesian network (a directed acyclic network) and fault trees are few examples of how network theories can be applied in risk assessment.In epidemiology risk assessments (Figure 7 and 9), once a network model was constructed, we can visually see then quantify and evaluate the potential exposure or infection risk of people related to the well-connected patients (Patient 1, 6, 35, 130 and 127 in Figure 7) or high-traffic places (Hotel M in Figure 9). In ecological risk assessments (Figure 8), through a network model we can identify the keystone species and determine how widespread the impacts will extend from the potential hazards being investigated.".
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• Network_theory_in_risk_assessment wikiPageExternalLink risk.pdf.
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• Network_theory_in_risk_assessment wikiPageWikiLink Bayesian_network.
• Network_theory_in_risk_assessment wikiPageWikiLink Black_swan_theory.
• Network_theory_in_risk_assessment wikiPageWikiLink Carbon_cycle.
• Network_theory_in_risk_assessment wikiPageWikiLink Category:Network_theory.
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• Network_theory_in_risk_assessment wikiPageWikiLink Centrality.
• Network_theory_in_risk_assessment wikiPageWikiLink Computation.
• Network_theory_in_risk_assessment wikiPageWikiLink Confirmation_bias.
• Network_theory_in_risk_assessment wikiPageWikiLink Epidemiology.
• Network_theory_in_risk_assessment wikiPageWikiLink Fault_tree_analysis.
• Network_theory_in_risk_assessment wikiPageWikiLink Food_chain.
• Network_theory_in_risk_assessment wikiPageWikiLink Food_web.
• Network_theory_in_risk_assessment wikiPageWikiLink Incubation_period.
• Network_theory_in_risk_assessment wikiPageWikiLink Iron_triangle_(US_politics).
• Network_theory_in_risk_assessment wikiPageWikiLink Keystone_species.
• Network_theory_in_risk_assessment wikiPageWikiLink Mathematical_model.
• Network_theory_in_risk_assessment wikiPageWikiLink Mathematics.
• Network_theory_in_risk_assessment wikiPageWikiLink Network_theory.
• Network_theory_in_risk_assessment wikiPageWikiLink Nitrogen_cycle.
• Network_theory_in_risk_assessment wikiPageWikiLink Pathogenesis.
• Network_theory_in_risk_assessment wikiPageWikiLink Risk_assessment.
• Network_theory_in_risk_assessment wikiPageWikiLink Six_degrees_of_separation.
• Network_theory_in_risk_assessment wikiPageWikiLink Small-world_experiment.
• Network_theory_in_risk_assessment wikiPageWikiLink Social_network.
• Network_theory_in_risk_assessment wikiPageWikiLink Stanley_Milgram.
• Network_theory_in_risk_assessment wikiPageWikiLink Statistics.
• Network_theory_in_risk_assessment wikiPageWikiLink Vertex_(graph_theory).
• Network_theory_in_risk_assessment wikiPageWikiLink Virulence_factor.
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• Network_theory_in_risk_assessment wikiPageWikiLinkText "Network theory in risk assessment".
• Network_theory_in_risk_assessment wikiPageWikiLinkText "network theory".
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• Network_theory_in_risk_assessment subject Category:Network_theory.
• Network_theory_in_risk_assessment subject Category:Risk_analysis_methodologies.
• Network_theory_in_risk_assessment hypernym Structure.
• Network_theory_in_risk_assessment type Building.
• Network_theory_in_risk_assessment type Thing.
• Network_theory_in_risk_assessment comment "A network is an abstract structure capturing only the basics of connection patterns and little else. Because it is a generalized pattern, tools developed for analyzing, modeling and understanding networks can theoretically be implemented across disciplines. As long as a system can be represented by a network, there is an extensive set of tools – mathematical, computational, and statistical – that are well-developed and if understood can be applied to the analysis of the system of interest.".
• Network_theory_in_risk_assessment label "Network theory in risk assessment".
• Network_theory_in_risk_assessment seeAlso Ecological_network.
• Network_theory_in_risk_assessment sameAs Q7000926.
• Network_theory_in_risk_assessment sameAs m.0hhq6_t.
• Network_theory_in_risk_assessment sameAs Q7000926.
• Network_theory_in_risk_assessment wasDerivedFrom Network_theory_in_risk_assessment?oldid=659549638.
• Network_theory_in_risk_assessment depiction %22Bow-tie%22_diagram_of_components_in_a_directed_network_SVG.svg.
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