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Jocelyne Lanois
Martha and the Muffins
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Network Profile
Overall Strength
2.74%
of network
(132.71M)
Direct Connections
4
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 9 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
132.71M
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
9
Strength Share (vs Direct Neighbours)
- This Post (2.74%)
- Andy Haas (6.16%)
- Martha Ladly (6.16%)
- Carl Finkle (2.74%)
- David Millar (2.74%)
- Mark Gane (2.74%)
- Martha Johnson (2.74%)
- Nick Kent (2.74%)
- Tim Gane (2) (2.74%)
Dominant nodes (excluded from chart)Martha and the Muffins 68.49%
Influence Share (vs Direct Neighbours)
- This Post (10.00%)
- Andy Haas (10.00%)
- Martha and the Muffins (10.00%)
- Martha Ladly (10.00%)
- Carl Finkle (10.00%)
- David Millar (10.00%)
- Mark Gane (10.00%)
- Martha Johnson (10.00%)
- Nick Kent (10.00%)
- Tim Gane (2) (10.00%)
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, 8:37 PM
Analyzing Network Connections...
👁️ 18 Views
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