Network Profile
Influence Score
6.49%
of network
(5.000025)
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
9
Strength Share (vs Direct Neighbours)
- This Post (2.00%)
- Caroline Kersten (6.00%)
- Eva Maria Horn (2.00%)
- Stefan Maass (2.00%)
- Stephan Rath (2) (2.00%)
- Tobias Schade (2.00%)
- Torsten Hoppe (2.00%)
- Wolfgang Von Kessinger (2.00%)
Dominant nodes (excluded from chart)Batzdorfer Hofkapelle 50.00%Daniel Deuter 30.00%
Influence Share (vs Direct Neighbours)
- This Post (6.49%)
- Daniel Deuter (43.24%)
- Batzdorfer Hofkapelle (6.49%)
- Eva Maria Horn (6.49%)
- Stefan Maass (6.49%)
- Stephan Rath (2) (6.49%)
- Tobias Schade (6.49%)
- Torsten Hoppe (6.49%)
- Wolfgang Von Kessinger (6.49%)
- Caroline Kersten (4.86%)
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, 8:06 AM
Analyzing Network Connections...
👁️ 46 Views
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