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
6
Tags on post
Inbound
6
Posts tagging this
Base Node Strength
36
Base Node Influence
1
Connected Nodes
11
Strength Share (vs Direct Neighbours)
- This Post (22.22%)
- Saab AJ 37 Viggen 37009 (5.56%)
- Olle Knutsson (2.47%)
- Saab AJ 37 Viggen 37006 (2.47%)
- Saab AJ 37 Viggen 37031 (2.47%)
- Saab AJ 37 Viggen 37074 (2.47%)
- Saab AJ 37 Viggen 37080 (2.47%)
- Saab SH 37 Viggen 37908 (2.47%)
- Saab J 29 Tunnan 29666 (2.47%)
- Saab J 32 Lansen 32530 (2.47%)
- Saab SK 37 Viggen 37805 (2.47%)
Dominant nodes (excluded from chart)F 15 50.00%
Influence Share (vs Direct Neighbours)
- This Post (8.33%)
- F 15 (8.33%)
- Olle Knutsson (8.33%)
- Saab AJ 37 Viggen 37006 (8.33%)
- Saab AJ 37 Viggen 37009 (8.33%)
- Saab AJ 37 Viggen 37031 (8.33%)
- Saab AJ 37 Viggen 37074 (8.33%)
- Saab AJ 37 Viggen 37080 (8.33%)
- Saab SH 37 Viggen 37908 (8.33%)
- Saab J 29 Tunnan 29666 (8.33%)
- Saab J 32 Lansen 32530 (8.33%)
- Saab SK 37 Viggen 37805 (8.33%)
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: Apr 30, 4:56 PM
Analyzing Network Connections...
Gävleborg County, Sweden
👁️ 11 Views