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 ($in) = max(1, 6) =
6
Inbound ($out) = max(1, 6) =
6
// 2. Node Base Values
Base Strength (PV) = $in × $out = 6 × 6 =
36
Base Influence (IV) = $in ÷ $out = 6 ÷ 6 =
1
// 3. Network Exponential Values (accumulating 11 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
269.8T
Network Influence (TV) = Node IV × (Π Neighbour IVs) =
0.75
Outbound
6
Tags on post
Inbound
6
Posts tagging this
Base Node Strength
36
Base Node Influence
1
Connected Nodes
11
Strength Share (vs Direct Neighbours)
- This Post (5.29%)
- This Mortal Coil (9.41%)
- Cocteau Twins (7.21%)
- Simon Raymonde (7.21%)
- Snowbird (1.76%)
- Frank Nardiello (1.32%)
- Lost Horizons (0.59%)
- The Lillies (0.59%)
- Angela Jaeger (0.59%)
- Paul Cummins (0.59%)
- Simon Godfrey (0.59%)
Dominant nodes (excluded from chart)My Life With the Thrill Kill Kult 64.85%
Influence Share (vs Direct Neighbours)
- This Post (8.51%)
- Cocteau Twins (8.51%)
- Simon Raymonde (8.51%)
- This Mortal Coil (8.51%)
- My Life With the Thrill Kill Kult (8.51%)
- Lost Horizons (8.51%)
- The Lillies (8.51%)
- Angela Jaeger (8.51%)
- Frank Nardiello (8.51%)
- Paul Cummins (8.51%)
- Simon Godfrey (8.51%)
- Snowbird (6.38%)
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 5, 4:08 AM
Analyzing Network Connections...
👁️ 30 Views
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