Post disaster governance, complexity and network theory
This research aims to understand the organizational network typology of large-scale disaster intervention in developing countries and to understand the complexity of post-disaster intervention, through the use of network theory based on empirical data from post-tsunami reconstruction in Aceh, Ind...
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sg-ntu-dr.10356-878642022-02-16T16:27:07Z Post disaster governance, complexity and network theory Lassa, Jonatan A. S. Rajaratnam School of International Studies Natural Disasters Post-disaster Intervention DRNTU::Social sciences::Sociology This research aims to understand the organizational network typology of large-scale disaster intervention in developing countries and to understand the complexity of post-disaster intervention, through the use of network theory based on empirical data from post-tsunami reconstruction in Aceh, Indonesia, during 2005/2007. The findings suggest that the ‘ degrees of separation’ (or network diameter) between any two organizations in the field is 5, thus reflecting ‘small world’ realities and therefore making no significant difference with the real human networks, as found in previous experiments. There are also significant loops in the network reflecting the fact that some actors tend to not cooperate, which challenges post disaster coordination. The findings show the landscape of humanitarian actors is not randomly distributed. Many actors were connected to each other through certain hubs, while hundreds of actors make ‘scattered’ single ‘principal-client’ links. The paper concludes that by understanding the distribution of degree, centrality, ‘degrees of separation’ and visualization of the network, authorities can improve their understanding of the realities of coordination, from macro to micro scales. Published version 2018-12-07T03:13:55Z 2019-12-06T16:50:57Z 2018-12-07T03:13:55Z 2019-12-06T16:50:57Z 2015 Journal Article Lassa, J. A. (2015). Post disaster governance, complexity and network theory. PLoS Currents. doi:10.1371/4f7972ecec1b6 2157-3999 https://hdl.handle.net/10356/87864 http://hdl.handle.net/10220/46862 10.1371/4f7972ecec1b6 26236562 en PLoS Currents © 2015 The Author(s). All content in PLOS Currents is open access and available under the terms of the Creative Commons Attribution License. All users of the content are required to cite the original PLOS Currents authors and the source. 21 p. application/pdf |
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Natural Disasters Post-disaster Intervention DRNTU::Social sciences::Sociology Lassa, Jonatan A. Post disaster governance, complexity and network theory |
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This research aims to understand the organizational network typology of large-scale disaster intervention in developing countries and to understand the complexity of post-disaster intervention, through the use of network theory based on empirical data from post-tsunami reconstruction in Aceh, Indonesia, during 2005/2007. The findings suggest that the ‘ degrees of separation’ (or network diameter) between any two organizations in the field is 5, thus reflecting ‘small world’ realities and therefore making no significant difference with the real human networks, as found in previous experiments. There are also significant loops in the network reflecting the fact that some actors tend to not cooperate, which challenges post disaster coordination. The findings show the landscape of humanitarian actors is not randomly distributed. Many actors were connected to each other through certain hubs, while hundreds of actors make ‘scattered’ single ‘principal-client’ links. The paper concludes that by understanding the distribution of degree, centrality, ‘degrees of separation’ and visualization of the network, authorities can improve their understanding of the realities of coordination, from macro to micro scales. |
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S. Rajaratnam School of International Studies |
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S. Rajaratnam School of International Studies Lassa, Jonatan A. |
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Lassa, Jonatan A. |
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Lassa, Jonatan A. |
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Post disaster governance, complexity and network theory |
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Post disaster governance, complexity and network theory |
title_full |
Post disaster governance, complexity and network theory |
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Post disaster governance, complexity and network theory |
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Post disaster governance, complexity and network theory |
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post disaster governance, complexity and network theory |
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2018 |
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https://hdl.handle.net/10356/87864 http://hdl.handle.net/10220/46862 |
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