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 ($in) = max(1, 4) =
4
Inbound ($out) = max(1, 4) =
4
// 2. Node Base Values
Base Strength (PV) = $in × $out = 4 × 4 =
16
Base Influence (IV) = $in ÷ $out = 4 ÷ 4 =
1
// 3. Network Exponential Values (accumulating 3 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
2.9K
Network Influence (TV) = Node IV × (Π Neighbour IVs) =
7.2
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Base Node Strength
16
Base Node Influence
1
Connected Nodes
3
Strength Share (vs Direct Neighbours)
- This Post (31.37%)
- Richie Egan (58.82%)
- U+1F574 (5.88%)
- Biefeld–Brown effect (3.92%)
Influence Share (vs Direct Neighbours)
- This Post (13.89%)
- U+1F574 (41.67%)
- Biefeld–Brown effect (27.78%)
- Richie Egan (16.67%)
Connected Network (How neighbours affect this node)
Top Network Boosters (Highest Multipliers)
Weakest Connections (Lowest Multipliers)
Connection Health Audit (Red = broken 1-way link)
Outbound Tags (4)
Biefeld–Brown effectBROKEN LINK
Inbound Posts (4)
No other posts link to this one yet.
Last calculated math cycle: May 4, 8:06 PM
Analyzing Network Connections...
👁️ 32 Views
