Incorporating Time Dynamics in the Analysis of Social Networks in Emergency Management

Wolbers, Jeroen; Groenewegen, Peter; Mollee, Julia S.; Bím, Jan

doi:10.1515/jhsem-2013-0019

Cited by 23 publications

(24 citation statements)

References 21 publications

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“…The above studies provided a static view of network based analysis to response operations, however, others realized that time element is essential to be considered in order to provide a full understanding of the evolution of response operations [13]. Therefore, a combination of complex network, time analysis and agent based modeling was used to understand evolution of organizational relations during response operations [14].…”

mentioning

confidence: 99%

Network based discrete event analysis for coordination processes in crisis response operations

Noori

Paetzold

Vilasís-Cardona

2016

2016 Annual IEEE Systems Conference (SysCon)

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In this paper we introduce a novel approach to study emerging organizational relations and coordination structures in crisis response operations. We use dynamic modeling methods to analyze operations in conjunction with network analysis to study relationships among coordinating teams. The goal of the research is to produce a model describing evolution of crisis response operation as network based dynamic system. Ultimately, the model should help create different scenarios of cross-organizational collaboration in crisis events to gage effectiveness of crisis response systems. The envisioned research outcome will impact the future design of response plans in crisis management and hopefully contribute to the shift towards decentralized network based response plans.

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mentioning

confidence: 99%

Network based discrete event analysis for coordination processes in crisis response operations

Noori

Paetzold

Vilasís-Cardona

2016

2016 Annual IEEE Systems Conference (SysCon)

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“…The results of the study boil down to the finding that communication, learning new things and different points of view are regarded as important to achieve learning and utility from inter-organisational exercises. This calls for communicative and interactive processes during exercises [43]. There are, however, obstacles to achieving such a process.…”

Section: Discussionmentioning

confidence: 99%

“…Information exchange during land-based emergency response operations is also known to uphold a certain degree of autonomy. Each organisation in the response network has operational field units at different levels, different functional command structures, separate back offices and intraorganisational radio communications channels [42,43].…”

Section: Maritime and Land-based Collaborationmentioning

confidence: 99%

Inter-Organisational Exercises in Dry and Wet Context—Why Do Maritime Response Organisations Gain More Knowledge from Exercises at Sea Than Those on Shore?

et al. 2020

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This is a study of inter-organisational exercises arranged by on-shore organisations (ONSOs) and off-shore organisations (OFFSOs). The aim was to compare findings from trained emergency staffs’ perceptions of the impact of exercises. The data were retrieved from surveys conducted by the research team in conjunction with exercises. The surveys included staff from the coast guard, sea rescue, police department, fire department and ambulance services. A total of 94 professional emergency personnel participated in the ONSO exercises and 252 in the OFFSO exercises. The study was based on the suggestion that collaborative elements during an inter-organisational exercise promote learning, and learning is important to make the exercises useful. Collaboration proved to be a predictor for some of the items in learning, and learning was a predictor for some of the items in utility. There was, however, a stronger covariation between collaboration, learning and utility in the OFFSOs exercises than in the ONSOs. One reason might be the different cultures of emergency staff involved in on-shore and off-shore organisations. The OFFSOs’ qualifications may be dominated by seamanship, together with professional practice, and all parties are expected to act as first responders. ONSOs, on the other hand, practice exercises from a strict professional and legal perspective.

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“…Additionally, we could not get a response from the clinician and the hospital outbreak management team since it is not clear who they will be prior to an actual outbreak. Another limitation of the research is that, as argued in the disaster management literature, the configuration of a response network is highly contingent upon the specifics of the crisis situation at hand [44]. Since the current study was exploratory, we chose to investigate a broad potential outbreak where multiple institutions were affected.…”

Section: Discussionmentioning

confidence: 99%

How prepared are we for cross-border outbreaks? An exploratory analysis of cross-border response networks for outbreaks of multidrug resistant microorganisms in the Netherlands and Germany

et al. 2019

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Background The emergence and spread of multidrug resistant microorganisms is a serious threat to transnational public health. Therefore, it is vital that cross-border outbreak response systems are constantly prepared for fast, rigorous, and efficient response. This research aims to improve transnational collaboration by identifying, visualizing, and exploring two cross-border response networks that are likely to unfold during outbreaks involving the Netherlands and Germany. Methods Quantitative methods were used to explore response networks during a cross-border outbreak of carbapenem resistant Enterobacteriaceae in healthcare settings. Eighty-six Dutch and German health professionals reflected on a fictive but realistic outbreak scenario (response rate ≈ 70%). Data were collected regarding collaborative relationships between stakeholders during outbreak response, prior working relationships, and trust in the networks. Network analysis techniques were used to analyze the networks on the network level (density, centralization, clique structures, and similarity of tie constellations between two networks) and node level (brokerage measures and degree centrality). Results Although stakeholders mainly collaborate with stakeholders belonging to the same country, transnational collaboration is present in a centralized manner. Integration of the network is reached, since several actors are beneficially positioned to coordinate transnational collaboration. However, levels of trust are moderately low and prior-existing cross-border working relationships are sparse. Conclusion Given the explored network characteristics, we conclude that the system has a promising basis to achieve effective coordination. However, future research has to determine what kind of network governance form might be most effective and efficient in coordinating the necessary cross-border response activity. Furthermore, networks identified in this study are not only crucial in times of outbreak containment, but should also be fostered in times of non-crisis.

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Incorporating Time Dynamics in the Analysis of Social Networks in Emergency Management

Cited by 23 publications

References 21 publications

Network based discrete event analysis for coordination processes in crisis response operations

Network based discrete event analysis for coordination processes in crisis response operations

Inter-Organisational Exercises in Dry and Wet Context—Why Do Maritime Response Organisations Gain More Knowledge from Exercises at Sea Than Those on Shore?

How prepared are we for cross-border outbreaks? An exploratory analysis of cross-border response networks for outbreaks of multidrug resistant microorganisms in the Netherlands and Germany

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