×
Current Year: No year set yet.
Most common related type: musician.
[related_posts_by_tag]
[display_discogs]
[add_related_titles_as_tags]
Accu§er
Oliver Fechner
No changes made.
Log Out
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
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 (2.84%)
- Volker Borchert (6.38%)
- Eberhard Weyel (2.84%)
- Frank Kimpel (2.84%)
- Frank Thoms (2.84%)
- Guido Venzlaff (2.84%)
- Milan Pesl (2.84%)
- Thomas Kircher (2) (2.84%)
- Uwe Schmidt (5) (2.84%)
Dominant nodes (excluded from chart)Accu§er 70.92%
Influence Share (vs Direct Neighbours)
- This Post (10.00%)
- Accu§er (10.00%)
- Eberhard Weyel (10.00%)
- Frank Kimpel (10.00%)
- Frank Thoms (10.00%)
- Guido Venzlaff (10.00%)
- Milan Pesl (10.00%)
- Thomas Kircher (2) (10.00%)
- Uwe Schmidt (5) (10.00%)
- Volker Borchert (10.00%)
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, 2:49 AM
Analyzing Network Connections...
👁️ 17 Views
Related Content
No related content found.