Table I

SNA-based humanitarian operations literature

NameSNA conceptsMajor findingsHumanitarian context
Moore et al. (2003) Degree, eigenvector and betweenness centralityNGOs with higher SNA centrality had a greater average number of emergency-project family beneficiaries2000 Mozambique floods
Doerfel et al. (2010) Embeddedness: tie activation, tie strength and tie usefulnessAmong the four phases of recovery: personal emergency, professional emergency, transition and rebuilding, inter-organizational social capital is most widely used by organizations in the last phase: rebuildingRecovery after Hurricane Katrina
Álvarez and Serrato (2013) In-degree, out-degree, closeness and betweenness centralityInformation organizations provide better linkages than other organizations in the network. The Ministry of the Presidency and the Regulatory Agency have control over the communication between different actorsCommunication network of the National System of Civil Protection (SINAPROC) in Panama
Lai et al. (2015) Network evolution, homophily, closure and centralizationPast relationships influence the formation of subsequent relationships after a disasterTyphoon Haiyan
Bisri (2016) In-degree, out-degree, and betweenness centrality; density and clique identificationSNA metrics characterized the West Java Earthquake as lead-agency network and the West Sumatra earthquake as a lead-partnership network, demonstrating the usefulness of the latter structure2009 West Java Earthquake and 2009 West Sumatra Earthquake
Curtis (2016) Degree centralityOrganizations that could have been helpful to the relief effort were found to be isolated or peripheral to the response, suggesting that Hurricane Katrina was not just a natural disaster but also a communication crisisHurricane Katrina
Noori and Weber (2016) Degree centralityThe switching capability and alteration between different sub-networks in the four stages of disaster management enhanced the capacity of the collaborative network2004 Tsunami disaster in India
Urrea et al. (2016) Degree, eigenvector, closeness, betweenness centrality; density, components and small worldingHaving pre-established partnerships among implementers, a central coordinator, high connectivity and few structural holes facilitates coordination and improves performance in disaster recovery2010 Haiti earthquake and 2013 Typhoon Haiyan in the Philippines
Kim et al. (2018) In-degree, out-degree, eigenvector and betweenness centralityNews agencies exhibited the highest in- and out-degree centrality among high eigenvector centrality actors during the disasterStorm Cindy
Han et al. (2018) In-degree, out-degree, eigenvector and betweenness centralityTop 10 in-degree, out-degree, and eigenvector centralities were individuals rather than organizations; organizations, however, had the highest betweenness centrality2016 Louisiana flood
Lai et al. (2017) Network evolution, density and configurationDemonstrates the evolutionary process of an emergent disaster response community2014 gas explosions in Kaohsiung, Taiwan
Swiss (2017) In-degree centrality and global tiesCountries with higher adherence to world society norms are the beneficiaries of more aid relationships with donor countriesOfficial bilateral country aid relationships, 1975–2006
Ssengooba et al. (2017) Core-periphery analysis and densityMore connected organizations can be leveraged for faster communication and resource flow to boost the delivery of health servicesPost-conflict northern Uganda
Vachette et al. (2017) Bonding, bridging, and linking networksContinuous relationship-building is essential for fostering inter-organizational connections during a crisisCyclone Pam

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