Network Profile
View Network Math
Node & Network Strength Details
×
How is this calculated? The math continuously tracks how strongly this post is connected to the rest of the website.
Every tag forms a network link. The pie charts below show each connected post's base strength (PV) and influence (IV) as a share of this post's direct neighbourhood.
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Base Node Strength
4
Base Node Influence
1
Connected Nodes
3
Strength Share (vs Direct Neighbours)
This Post (14.29%) International Agency for Research on Cancer (57.14%) Elisabete Weiderpass-Vainio (14.29%) Tour Guillot-Bourdeix (14.29%)
Influence Share (vs Direct Neighbours)
This Post (25.00%) International Agency for Research on Cancer (25.00%) Elisabete Weiderpass-Vainio (25.00%) Tour Guillot-Bourdeix (25.00%)
Connected Network (How neighbours affect this node)
Top Network Boosters (Highest Multipliers)
Weakest Connections (Lowest Multipliers)
Connection Health Audit (Red = broken 1-way link)
Last calculated math cycle: May 1, 10:09 PM
Close Report
Analyzing Network Connections...
Most Relevant
Most Integral
Depth: 1 Level
Depth: 2 Levels
Depth: 3 Levels
Depth: 4 Levels
Depth: 5 Levels
Depth: 6 Levels
Depth: 7 Levels
Nearest Locations 📍
📍
📍
Lyon, Métropole de Lyon, France
👁️ 11 Views