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
9
Strength Share (vs Direct Neighbours)
- This Post (2.84%)
- Steeves Hostin (6.38%)
- Benoit Friedrich (2.84%)
- Igor Omodei (2.84%)
- Arnaud Verrier (2.84%)
- Christian Schreil (2.84%)
- Ingemar Schubnel (2.84%)
- Jean Ferry (2) (2.84%)
- Matthieu Romarin (2.84%)
Dominant nodes (excluded from chart)Uneven Structure 70.92%
Influence Share (vs Direct Neighbours)
- This Post (10.00%)
- Uneven Structure (10.00%)
- Benoit Friedrich (10.00%)
- Igor Omodei (10.00%)
- Steeves Hostin (10.00%)
- Arnaud Verrier (10.00%)
- Christian Schreil (10.00%)
- Ingemar Schubnel (10.00%)
- Jean Ferry (2) (10.00%)
- Matthieu Romarin (10.00%)
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, 9:30 PM
Analyzing Network Connections...
👁️ 15 Views
Related Content
No related content found.