×
Current Year: No year set yet.
Most common related type: musician.
[related_posts_by_tag]
[display_discogs]
[add_related_titles_as_tags]
Flatline
Gavin Ryan
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.
// 1. Base variables (minimum value of 1 to prevent zero-multiplication issues)
Outbound ($in) = max(1, 2) =
2
Inbound ($out) = max(1, 2) =
2
// 2. Node Base Values
Base Strength (PV) = $in × $out = 2 × 2 =
4
Base Influence (IV) = $in ÷ $out = 2 ÷ 2 =
1
// 3. Network Exponential Values (accumulating 6 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
12.85M
Network Influence (TV) = Node IV × (Π Neighbour IVs) =
1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Base Node Strength
4
Base Node Influence
1
Connected Nodes
6
Strength Share (vs Direct Neighbours)
- This Post (2.76%)
- Dave Murphy (44.14%)
- Flatline (33.79%)
- Chris McBride (11.03%)
- Aaron Kiely (2.76%)
- Nicholas Kelly (2.76%)
- Paul MacSweeney (2.76%)
Influence Share (vs Direct Neighbours)
- This Post (14.29%)
- Flatline (14.29%)
- Dave Murphy (14.29%)
- Aaron Kiely (14.29%)
- Chris McBride (14.29%)
- Nicholas Kelly (14.29%)
- Paul MacSweeney (14.29%)
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 4, 7:54 PM
Analyzing Network Connections...
👁️ 29 Views
Related Content
No related content found.