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Rick Nelson (3)
The Afghan Whigs
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Network Profile
Overall Strength
0.67%
of network
(3.93 × 1019)
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 17 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
3.93 × 1019
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
17
Strength Share (vs Direct Neighbours)
0.67%
(3.93 × 1019 overall)
- This Post (0.67%)
- Paul Buchignani (8.21%)
- Greg Dulli (6.03%)
- Patrick Keeler (6.03%)
- steve earle (6.03%)
- Christopher Thorn (4.19%)
- Dave Rosser (4.19%)
- Cully Symington (2.68%)
- Jon Skibic (1.51%)
- Steve Earle (2) (1.51%)
- John Curley (0.67%)
- Mark McGuire (0.67%)
- Michael Horrigan (0.67%)
- Rick G. Nelson (0.67%)
- Rick McCollum (0.67%)
- Mark McGuire (2) (0.67%)
- David Rosser (0.67%)
Dominant nodes (excluded from chart)The Afghan Whigs 54.27%
Influence Share (vs Direct Neighbours)
- This Post (5.56%)
- The Afghan Whigs (5.56%)
- Christopher Thorn (5.56%)
- Dave Rosser (5.56%)
- Greg Dulli (5.56%)
- John Curley (5.56%)
- Jon Skibic (5.56%)
- Mark McGuire (5.56%)
- Michael Horrigan (5.56%)
- Patrick Keeler (5.56%)
- Paul Buchignani (5.56%)
- Cully Symington (5.56%)
- steve earle (5.56%)
- Rick G. Nelson (5.56%)
- Rick McCollum (5.56%)
- Mark McGuire (2) (5.56%)
- David Rosser (5.56%)
- Steve Earle (2) (5.56%)
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, 2:39 AM
Analyzing Network Connections...
👁️ 29 Views
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