Network Profile
Influence Score
11.45%
of network
(2.960438)
Direct Connections
7
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 ($in) = max(1, 3) =
3
Inbound ($out) = max(1, 4) =
4
// 2. Node Base Values
Base Strength (PV) = $in × $out = 3 × 4 =
12
Base Influence (IV) = $in ÷ $out = 3 ÷ 4 =
0.75
// 3. Network Exponential Values (accumulating 4 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
39.4M
Network Influence (TV) = Node IV × (Π Neighbour IVs) =
2.960438
Outbound
3
Tags on post
Inbound
4
Posts tagging this
Base Node Strength
12
Base Node Influence
0.75
Connected Nodes
4
Strength Share (vs Direct Neighbours)
- This Post (2.45%)
- Wingy Manone (77.55%)
- Jefferson (14.69%)
- Architecture of St. Louis (4.08%)
- St. Louis, Missouri (1.22%)
Influence Share (vs Direct Neighbours)
11.45%
(2.960438 overall)
- This Post (11.45%)
- Jefferson (30.52%)
- St. Louis, Missouri (22.89%)
- Architecture of St. Louis (19.08%)
- Wingy Manone (16.06%)
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, 6:42 PM
Analyzing Network Connections...
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Nearest Locations
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Moniteau County, United States
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