Requirement


The S4RSA Team performed a Social Network Analysis to more fully and adequately address the following portion of the Terms of Reference:

  • Develop a link analysis to illustrate relationships between government, private sector, international organizations, and non-governmental entities within the security sector in sub-Saharan Africa.




| Sierra Leone | Liberia | Democratic Republic of Congo | Southern Sudan |




What is Social Network Analysis?


Social network analysis is an analytical tool designed to analyze a network and identify the relationship of major players or nodes in a non-bias way. Social network analysis provides a visual representation of the network, as well as numerical representation of the nodes' "power" in a network. A node's "power" is defined in four separate ways:
  1. Degree - The number of links a nodes has to other nodes within the network.
  2. Betweenness - The number of links running through a player or the "extent to which a node is directly connected only to those other nodes that are not directly connected to each other; an intermediary; liaisons; bridges, i.e. it's the number of people who a person is connected to indirectly through their direct links."
  3. Closeness - The numeric representation of the degree to which a node is near all other nodes within a network, including direct or indirect relationships. This power measurement reflects a nodes access to information through the "grapevine" of other nodes within the network. Closeness is calculated as the inverse of the sum of the shortest distance between each node and every other node within the network.
  4. Eigenvector - The overall assessment of importance based on centrality measures or measures of power, including degree, betweenness, and closeness.



Sierra Leone



Sierra_Leone_final_SNA_netdraw.JPG
Source: Social Network Analysis - UCINET


Sierra_Leone_final_mage.JPG
Source: Social Network Analysis, Mage.


Sierra_Leone_Centrality_Measures_final.JPG
Source: Social Network Analysis, UCINET


Centrality Results for Sierra Leone:


1. Degree: United Kingdom
2. Betweenness: United Kingdom
3. Closeness: United Kingdom
4. Eigenvector: United Kingdom




Liberia


Liberia_network_3.JPG
Source: Social Network Analysis, UCINET


Liberia_network_Mage.JPG
Source: Social Network Analysis, Mage


Centrality_Measures_final.JPG
Source: Social Network Analysis, UCINET


Centrality Results for Liberia:


1. Degree: Government of Liberia and United Nations
2. Betweenness: Government of Liberia and United Nations
3. Closeness: United Nations
4. Eigenvector: Government of Liberia




Democratic Republic of Congo


DRC_network_final.JPG
Source: Social Network Analysis, UCINET


DRC_Mage_final.JPG
Source: Social Network Analysis, Mage


Centrality_Measures_DRC.JPG
Source: Social Network Analysis, UCINET

Centrality Results for Democratic Republic of Congo:


1. Degree: Congolese Government
2. Betweenness: Congolese Government
3. Closeness: Congolese Government
4. Eigenvector: Congolese Government



Southern Sudan


Southern_Sudan_Network_Final.JPG
Source: Social Network Analysis, UCINET


Sothern_Sudan_Mage.JPG
Source: Social Network Analysis, Mage


Centrality_Measures_SSudan.JPG
Source: Social Network Analysis, UCINET


Centrality Results for Southern Sudan:


1. Degree: UNMIS
2. Betweenness: UNMIS
3. Closeness: UNMIS
4. Eigenvector: UNMIS



Social Network Analysis Software: UCINET

http://www.analytictech.com/ucinet/ucinet.htm


Social Network Analysis Files


Democratic Republic of Congo




Liberia




Sierra Leone




Southern Sudan