Network Profile
Influence Score
14.29%
of network
(0.9375)
Direct Connections
10
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 ($in) = max(1, 5) =
5
Inbound ($out) = max(1, 5) =
5
// 2. Node Base Values
Base Strength (PV) = $in × $out = 5 × 5 =
25
Base Influence (IV) = $in ÷ $out = 5 ÷ 5 =
1
// 3. Network Exponential Values (accumulating 6 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
6.14M
Network Influence (TV) = Node IV × (Π Neighbour IVs) =
0.9375
Outbound
5
Tags on post
Inbound
5
Posts tagging this
Base Node Strength
25
Base Node Influence
1
Connected Nodes
6
Strength Share (vs Direct Neighbours)
- This Post (29.41%)
- Vanessa Bauche (23.53%)
- James Horner (18.82%)
- The Mask of Zorro (14.12%)
- Caroline in the City (4.71%)
- The Deep End of the Ocean (4.71%)
- Vikki Carr & Ana Gabriel: Cosas Del Amor (4.71%)
Influence Share (vs Direct Neighbours)
- This Post (14.29%)
- Vanessa Bauche (17.86%)
- James Horner (14.29%)
- Caroline in the City (14.29%)
- The Deep End of the Ocean (14.29%)
- Vikki Carr & Ana Gabriel: Cosas Del Amor (14.29%)
- The Mask of Zorro (10.71%)
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, 6:03 AM
Analyzing Network Connections...
👁️ 28 Views
