Network Profile
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
2
Strength Share (vs Direct Neighbours)
- This Post (25.00%)
- Katedralskolan, Linköping (56.25%)
- Axel Brunskog (18.75%)
Influence Share (vs Direct Neighbours)
- This Post (20.00%)
- Axel Brunskog (60.00%)
- Katedralskolan, Linköping (20.00%)
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 3, 12:34 PM
Analyzing Network Connections...
Loading Map...
Nearest Locations
📍
📍
📍
📍
Linköping, Östergötland County, Sweden
👁️ 12 Views