×
Current Year: No year set yet.
Most common related type: musician.
[related_posts_by_tag]
[display_discogs]
[add_related_titles_as_tags]
Freewheel
Guiness
Liam McGuiness
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
3
Tags on post
Inbound
3
Posts tagging this
Base Node Strength
9
Base Node Influence
1
Connected Nodes
7
Strength Share (vs Direct Neighbours)
- This Post (9.89%)
- Freewheel (39.56%)
- Jimmy Whiteside (17.58%)
- Barry Teeling (9.89%)
- Guiness (9.89%)
- Tommy Vella (4.40%)
- Terry Murrey (4.40%)
- Sean Creighton (4.40%)
Influence Share (vs Direct Neighbours)
- This Post (12.50%)
- Freewheel (12.50%)
- Jimmy Whiteside (12.50%)
- Tommy Vella (12.50%)
- Barry Teeling (12.50%)
- Terry Murrey (12.50%)
- Sean Creighton (12.50%)
- Guiness (12.50%)
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, 4:11 AM
Analyzing Network Connections...
👁️ 34 Views
Related Content
No related content found.