How is this calculated?
The math continuously tracks how strongly this post is connected to the rest of the network. Every tag forms a 2-way link. The base stats determine personal node strength, and the pie charts below show this node's share against its direct neighbours.
// 1. Base variables (floored at 1 to prevent zero-multiplication math errors)
$inbound = max(1, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 36 [Byron Stroud] *
4 [Aaron "Boon" Gustafson] *
4 [Ash Pearson] *
1 [Brian Redman] *
16 [Cam Pipes] *
4 [Matt Wood] *
1 [Bobby Froese] *
1 [Geoff Trawick] *
1 [Jamie Hooper] *
1 [Jay Watts] *
1 [Justin Hagberg] *
1 [Matt C (touring)] *
9 [Pete Griffin] *
1 [Rich Trawick] *
1 [Shane Clark] *
1 [Steve Ericson] *
4 [Sunny Dhak] *
4 [Matt Wood (5)] *
4 [Shane Clark (3)] *
1 [Rich Trawick (2)] *
441 [3 Inches Of Blood]
)
= 9.36B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Byron Stroud] *
1 [Aaron "Boon" Gustafson] *
1 [Ash Pearson] *
1 [Brian Redman] *
1 [Cam Pipes] *
1 [Matt Wood] *
1 [Bobby Froese] *
1 [Geoff Trawick] *
1 [Jamie Hooper] *
1 [Jay Watts] *
1 [Justin Hagberg] *
1 [Matt C (touring)] *
1 [Pete Griffin] *
1 [Rich Trawick] *
1 [Shane Clark] *
1 [Steve Ericson] *
1 [Sunny Dhak] *
1 [Matt Wood (5)] *
1 [Shane Clark (3)] *
1 [Rich Trawick (2)] *
1 [3 Inches Of Blood]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
21
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)3 Inches Of Blood 81.97%Byron Stroud 6.69%Cam Pipes 2.97%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)