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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 81 [Escape the Fate] *
4 [TJ Bell] *
1 [Craig Mabbitt] *
1 [Kevin Gruft] *
4 [Max Green] *
1 [Michael Money] *
1 [Monte Money] *
1 [Omar Espinosa (2)] *
1 [Robert Ortiz (2)] *
169 [Falling in Reverse] *
1 [Ron Ficarro] *
9 [Ryan Seaman] *
4 [Zachary Sandler] *
1 [Christian Thompson (2)] *
1 [Derek Jones (7)] *
1 [Jacky Vincent] *
1 [Luke Holland (2)] *
1 [Mika Horiuchi] *
1 [Nason Schoeffler] *
1 [Scott Gee] *
1 [Tyler Burgess (2)]
)
= 31.54M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Escape the Fate] *
1 [TJ Bell] *
1 [Craig Mabbitt] *
1 [Kevin Gruft] *
1 [Max Green] *
1 [Michael Money] *
1 [Monte Money] *
1 [Omar Espinosa (2)] *
1 [Robert Ortiz (2)] *
1 [Falling in Reverse] *
1 [Ron Ficarro] *
1 [Ryan Seaman] *
1 [Zachary Sandler] *
1 [Christian Thompson (2)] *
1 [Derek Jones (7)] *
1 [Jacky Vincent] *
1 [Luke Holland (2)] *
1 [Mika Horiuchi] *
1 [Nason Schoeffler] *
1 [Scott Gee] *
1 [Tyler Burgess (2)]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
21
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Falling in Reverse 58.28%Escape the Fate 27.93%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)