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, 5) = 5
$outbound = max(1, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 5 = 25
Base_Influence (IV) = $inbound / $outbound = 5 / 5 = 1
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 25 *
( 49 [Alice in Chains] *
9 [Jerry Cantrell] *
16 [Mike Inez] *
9 [Sean Kinney] *
169 [Maynard James Keenan] *
64 [William DuVall] *
4 [Michael Starr] *
25 [Mad Season] *
1 [A Little Bitter] *
16 [Alice Mudgarden] *
25 [Class Of '99] *
64 [Chris Cornell] *
81 [Mark Lanegan] *
100 [Barrett Martin] *
4 [John Baker Saunders] *
49 [Martyn LeNoble] *
121 [Stephen Perkins] *
64 [Tom Morello] *
1 [Matt Serletic]
)
= 5.40 x 10^26
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Alice in Chains] *
1 [Jerry Cantrell] *
1 [Mike Inez] *
1 [Sean Kinney] *
1 [Maynard James Keenan] *
1 [William DuVall] *
1 [Michael Starr] *
1 [Mad Season] *
1 [A Little Bitter] *
1 [Alice Mudgarden] *
1 [Class Of '99] *
1 [Chris Cornell] *
1 [Mark Lanegan] *
1 [Barrett Martin] *
1 [John Baker Saunders] *
1 [Martyn LeNoble] *
1 [Stephen Perkins] *
1 [Tom Morello] *
1 [Matt Serletic]
)
= 1
Outbound
5
Tags on post
Inbound
5
Posts tagging this
Connections
19
Total nodes
Base Node Strength
25
Base Node Influence
1
Strength Share (vs Direct Neighbours)
2.79%
(5.40 × 1026 overall)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
