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Der Rote Bereich
Oliver Steidle
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Network Profile
Influence Score
16.22%
of network
(1.1667)
Direct Connections
4
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
5
Strength Share (vs Direct Neighbours)
- This Post (3.28%)
- Rudi Mahall (3.28%)
- Frank Möbus (3.28%)
- John Schröder (3.28%)
Dominant nodes (excluded from chart)Hal Crook 52.46%Der Rote Bereich 34.43%
Influence Share (vs Direct Neighbours)
- This Post (16.22%)
- Der Rote Bereich (18.92%)
- Hal Crook (16.22%)
- Rudi Mahall (16.22%)
- Frank Möbus (16.22%)
- John Schröder (16.22%)
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, 11:25 PM
Analyzing Network Connections...
👁️ 13 Views
Related Content
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