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Post Disaster Governance, Complexity and Network Theory: Evidence from Aceh, Indonesia After the Indian Ocean Tsunami 2004.

Lassa JA - PLoS Curr (2015)

Bottom Line: There are also significant loops in the network reflecting the fact that some actors tend to not cooperate, which challenges post- disaster coordination.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.

View Article: PubMed Central - PubMed

Affiliation: Nanyang Technological University.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus

Based on Force Atlas layout in Gephi. The size of the nodes reflect the degree of the nodes. The colors of the nodes reflect 90 communities detected within the network. The number of communities suggest the relative (un)connectedness of the dots (organisations). The nodes with low connection are scattered in outer boundary or periphery.
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d35e342: Based on Force Atlas layout in Gephi. The size of the nodes reflect the degree of the nodes. The colors of the nodes reflect 90 communities detected within the network. The number of communities suggest the relative (un)connectedness of the dots (organisations). The nodes with low connection are scattered in outer boundary or periphery.


Post Disaster Governance, Complexity and Network Theory: Evidence from Aceh, Indonesia After the Indian Ocean Tsunami 2004.

Lassa JA - PLoS Curr (2015)

Based on Force Atlas layout in Gephi. The size of the nodes reflect the degree of the nodes. The colors of the nodes reflect 90 communities detected within the network. The number of communities suggest the relative (un)connectedness of the dots (organisations). The nodes with low connection are scattered in outer boundary or periphery.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4519003&req=5

d35e342: Based on Force Atlas layout in Gephi. The size of the nodes reflect the degree of the nodes. The colors of the nodes reflect 90 communities detected within the network. The number of communities suggest the relative (un)connectedness of the dots (organisations). The nodes with low connection are scattered in outer boundary or periphery.
Bottom Line: There are also significant loops in the network reflecting the fact that some actors tend to not cooperate, which challenges post- disaster coordination.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.

View Article: PubMed Central - PubMed

Affiliation: Nanyang Technological University.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus