Fusing Large Open-source Data to Identify Influencers
Area of Interest:
Abuja, Nigeria
Washington, D.C.
Dhaka, Bangladesh
Baghdad, Iraq
Tallinn, Estonia
Mosul, Iraq
Asuncion, Paraguay
Aleppo, Syria
Astana, Kazakhstan
Kinshasa, DRC
Mogadishu, Somalia
Yemen
Monrovia, Liberia
Bamako, Mali
Kiev, Ukraine
How many people in the network?
Analyze the Network Centrality Using:
Degree
Closeness
Betweenness
Eigenvector
Simplify Network
Dynamic Network
Choose
Eigenvector
if you want to rank importance by the quality and quantity of connections. Quality is how important or influential their connections are.
Choose
Degree
if you want to rank importance by the number of connections for an individual or organization.
Choose
Closeness
if you want to rank individuals by how near they are to others.
Choose
Betweenness
if you want to find people who bridge between groups.
For further information on the Network Centrality measures, follow the link to our
network centrality guide
Important People
Important Places
Network Visualization
This model is still under development