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 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 256 [Zach Hill] *
4 [Kenny Hopper] *
4 [Jarrett Wrenn] *
100 [CRIME IN CHOIR] *
4 [Carson McWhirter] *
1 [Jeff Hunt (4)] *
1 [Jesse Reiner] *
1 [Jonathan Skaggs] *
1 [Tim Soete] *
575 [At the Drive-In]
)
= 942.08M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Zach Hill] *
1 [Kenny Hopper] *
1 [Jarrett Wrenn] *
1 [CRIME IN CHOIR] *
1 [Carson McWhirter] *
1 [Jeff Hunt (4)] *
1 [Jesse Reiner] *
1 [Jonathan Skaggs] *
1 [Tim Soete] *
0.92 [At the Drive-In]
)
= 0.92
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
10
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)At the Drive-In 60.65%Zach Hill 27.00%CRIME IN CHOIR 10.55%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)