×
Current Year: No year set yet.
Most common related type: musician.
[related_posts_by_tag]
[display_discogs]
[add_related_titles_as_tags]
John Grayland
Yeah Yeah Noh
No changes made.
Log Out
Network Profile
Influence Score
10.98%
of network
(1.1111)
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
8
Strength Share (vs Direct Neighbours)
- This Post (2.88%)
- Alan Jenkins (11.51%)
- Graham Summers (6.47%)
- Simon Beverley (2.88%)
- Adrian Crossan (2.88%)
- Andy Nicholls (2.88%)
- Sue Dorey (2.88%)
- Tom Slater (2.88%)
Dominant nodes (excluded from chart)Yeah Yeah Noh 64.75%
Influence Share (vs Direct Neighbours)
- This Post (10.98%)
- Yeah Yeah Noh (12.20%)
- Simon Beverley (10.98%)
- Adrian Crossan (10.98%)
- Alan Jenkins (10.98%)
- Andy Nicholls (10.98%)
- Graham Summers (10.98%)
- Sue Dorey (10.98%)
- Tom Slater (10.98%)
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, 10:51 PM
Analyzing Network Connections...
👁️ 11 Views
Related Content
No related content found.