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
4
Tags on post
Inbound
4
Posts tagging this
Base Node Strength
16
Base Node Influence
1
Connected Nodes
12
Strength Share (vs Direct Neighbours)
- This Post (6.18%)
- Peter Rasym (7.72%)
- Rainer Oleak (6.18%)
- Stefan Schirrmacher (3.47%)
- Anke Schenker (1.54%)
- Frank Schirmer (1.54%)
- Uli Werfel (1.54%)
- Peter Lorenz (8) (1.54%)
- Motiv (6) (1.54%)
- Anett Kölpin (1.54%)
- Ines Paulke & Best Friends (1.54%)
Dominant nodes (excluded from chart)Datzu 46.72%Ingo Politz 18.92%
Influence Share (vs Direct Neighbours)
- This Post (7.55%)
- Peter Rasym (9.43%)
- Datzu (7.55%)
- Anke Schenker (7.55%)
- Frank Schirmer (7.55%)
- Ingo Politz (7.55%)
- Rainer Oleak (7.55%)
- Stefan Schirrmacher (7.55%)
- Uli Werfel (7.55%)
- Peter Lorenz (8) (7.55%)
- Motiv (6) (7.55%)
- Anett Kölpin (7.55%)
- Ines Paulke & Best Friends (7.55%)
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 2, 4:10 AM
Analyzing Network Connections...
👁️ 18 Views
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