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Brendan Trache
municipal-waste
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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 10 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
43.88T
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
10
Strength Share (vs Direct Neighbours)
- This Post (0.53%)
- municipal-waste (13.23%)
- Phil Hall (5) (4.76%)
- Ryan Waste (3.31%)
- Nick Poulos (3.31%)
- Tony Foresta (2.12%)
- Brandon Ferrell (1.19%)
- Andy Harris (2) (0.53%)
- Municipal Waste - Full Force 2019 (0.53%)
- Municipal Waste - State of Unrest Tour 2023 (0.53%)
Dominant nodes (excluded from chart)Dave Witte 69.97%
Influence Share (vs Direct Neighbours)
- This Post (9.09%)
- Dave Witte (9.09%)
- Ryan Waste (9.09%)
- Brandon Ferrell (9.09%)
- Nick Poulos (9.09%)
- Phil Hall (5) (9.09%)
- Tony Foresta (9.09%)
- Andy Harris (2) (9.09%)
- municipal-waste (9.09%)
- Municipal Waste - Full Force 2019 (9.09%)
- Municipal Waste - State of Unrest Tour 2023 (9.09%)
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, 6:39 AM
Analyzing Network Connections...
👁️ 38 Views
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