Network Profile
Overall Strength
67.12%
of network
(200.7K)
Direct Connections
14
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 ($in) = max(1, 7) =
7
Inbound ($out) = max(1, 7) =
7
// 2. Node Base Values
Base Strength (PV) = $in × $out = 7 × 7 =
49
Base Influence (IV) = $in ÷ $out = 7 ÷ 7 =
1
// 3. Network Exponential Values (accumulating 6 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
200.7K
Network Influence (TV) = Node IV × (Π Neighbour IVs) =
1
Outbound
7
Tags on post
Inbound
7
Posts tagging this
Base Node Strength
49
Base Node Influence
1
Connected Nodes
6
Strength Share (vs Direct Neighbours)
- This Post (67.12%)
- Draw Funny Animal (5.48%)
- Stephen McBride (5.48%)
- Michael Rugman (5.48%)
- Mark Dale (5.48%)
- David Mc Garry (5.48%)
- Bill Aiken (5.48%)
Influence Share (vs Direct Neighbours)
- This Post (14.29%)
- Draw Funny Animal (14.29%)
- Stephen McBride (14.29%)
- Michael Rugman (14.29%)
- Mark Dale (14.29%)
- David Mc Garry (14.29%)
- Bill Aiken (14.29%)
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, 4:39 AM
Analyzing Network Connections...
Gwynedd, United Kingdom
👁️ 39 Views
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