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
13
Tags on post
Inbound
14
Posts tagging this
Base Node Strength
182
Base Node Influence
0.9286
Connected Nodes
13
Strength Share (vs Direct Neighbours)
- This Post (78.45%)
- Jessica Thierjung (1.72%)
- Johannes Anand (1.72%)
- Marcus Fidorra (1.72%)
- Oliver Thierjung (1.72%)
- Daniel de Beer (1.72%)
- Joon Laukamp (1.72%)
- Linda Laukamp (1.72%)
- Markus Fidorra (1.72%)
- Martin Ahman (1.72%)
- Steffen Feldmann (1.72%)
- Sven Engelmann (1.72%)
- Tim Sonnenstuhl (1.72%)
- Robin Tidebrink (0.86%)
Influence Share (vs Direct Neighbours)
- This Post (6.22%)
- Robin Tidebrink (13.40%)
- Jessica Thierjung (6.70%)
- Johannes Anand (6.70%)
- Marcus Fidorra (6.70%)
- Oliver Thierjung (6.70%)
- Daniel de Beer (6.70%)
- Joon Laukamp (6.70%)
- Linda Laukamp (6.70%)
- Markus Fidorra (6.70%)
- Martin Ahman (6.70%)
- Steffen Feldmann (6.70%)
- Sven Engelmann (6.70%)
- Tim Sonnenstuhl (6.70%)
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, 8:32 AM
Analyzing Network Connections...
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