Incorporating time dynamics in the analysis of social networks in emergency management

J.J. Wolbers, P. Groenewegen, J.S. Mollee, J. Bím

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Timely and adequate communication is essential for the response to emergency situations. The current vision on emergency response embraces the networked organization as an answer to the dilemmas of communication and information flows in crisis situations. With stabilization of the network paradigm, the focus question turns into how networks are perceived and in what manner they function. We argue that there is a need to attend to the way networks and their functioning are assessed. From the agenda that we derive, we pay attention to the manner in which the time critical nature of the communication during emergency situations can be captured in network terms. The focus on how network interaction unfolds over time is demonstrated by attending to a case of a tunnel incident in the Netherlands. It is argued that a structure-oriented network analysis misses much of the actions and that using the data to probe the communication patterns with additional methods for time dependency enhances our insights. Three approaches, time slices, two-mode analysis and information pathways, are then introduced and the outcomes are interpreted.
LanguageEnglish
Pages555-585
JournalJournal of Homeland Security and Emergency Management
Volume10
Issue number2
DOIs
Publication statusPublished - 2013

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social network
Communication
management
information flow
Electric network analysis
communication pattern
communication
Tunnels
network analysis
stabilization
Stabilization
incident
Netherlands
time
Emergency management
Social networks
paradigm
organization
interaction
Emergency

Cite this

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Incorporating time dynamics in the analysis of social networks in emergency management. / Wolbers, J.J.; Groenewegen, P.; Mollee, J.S.; Bím, J.

In: Journal of Homeland Security and Emergency Management, Vol. 10, No. 2, 2013, p. 555-585.

Research output: Contribution to JournalArticleAcademicpeer-review

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