Network Profile
Influence Score
10.08%
of network
(0.9231)
Direct Connections
18
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
9
Tags on post
Inbound
9
Posts tagging this
Base Node Strength
81
Base Node Influence
1
Connected Nodes
9
Strength Share (vs Direct Neighbours)
- This Post (29.56%)
- André Schumann (3.28%)
- Oliver Schwickert (1.46%)
- Thorsten Kohlrausch (1.46%)
- Torsten Scharf (1.46%)
- Matthias Majkowski (1.46%)
- Michael Lowin (1.46%)
- Torsten Sauerbrey (1.46%)
- Florian Schröder (1.46%)
Dominant nodes (excluded from chart)Dark Age 56.93%
Influence Share (vs Direct Neighbours)
- This Post (10.08%)
- André Schumann (10.08%)
- Oliver Schwickert (10.08%)
- Thorsten Kohlrausch (10.08%)
- Torsten Scharf (10.08%)
- Matthias Majkowski (10.08%)
- Michael Lowin (10.08%)
- Torsten Sauerbrey (10.08%)
- Florian Schröder (10.08%)
- Dark Age (9.30%)
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, 4:03 PM
Analyzing Network Connections...
👁️ 31 Views
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