Network Profile
Overall Strength
8.11%
of network
(297.33T)
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 10 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
297.33T
Network Influence (TV) = Node IV × (Π Neighbour IVs) =
0.8889
Outbound
7
Tags on post
Inbound
7
Posts tagging this
Base Node Strength
49
Base Node Influence
1
Connected Nodes
10
Strength Share (vs Direct Neighbours)
- This Post (8.11%)
- Vista Chino (11.92%)
- Orquesta Del Desierto (10.60%)
- Kyuss (8.11%)
- John Garcia (2) (2.65%)
- Steve Earle (2) (1.49%)
- Dandy Brown (1.49%)
- Chris Leathers (0.66%)
- David Angstrom (0.66%)
- Mike Callahan (0.66%)
Dominant nodes (excluded from chart)The Afghan Whigs 53.64%
Influence Share (vs Direct Neighbours)
- This Post (9.18%)
- Kyuss (9.18%)
- The Afghan Whigs (9.18%)
- Orquesta Del Desierto (9.18%)
- John Garcia (2) (9.18%)
- Steve Earle (2) (9.18%)
- Chris Leathers (9.18%)
- Dandy Brown (9.18%)
- David Angstrom (9.18%)
- Mike Callahan (9.18%)
- Vista Chino (8.16%)
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, 9:51 PM
Analyzing Network Connections...
👁️ 39 Views
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