Post Disaster Governance, Complexity and Network Theory
Author(s) -
Jonatan Lassa
Publication year - 2015
Publication title -
plos currents
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.282
H-Index - 49
ISSN - 2157-3999
DOI - 10.1371/4f7972ecec1b6
Subject(s) - centrality , typology , corporate governance , complex network , network governance , computer science , field (mathematics) , intervention (counseling) , actor–network theory , emergency management , data science , computer security , business , political science , sociology , psychology , social science , world wide web , mathematics , law , finance , combinatorics , psychiatry , anthropology , pure mathematics
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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom