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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 12 [Vincent Barbi] *
56 [Paul Guilfoyle] *
1 [Mary Wells] *
16 [Tim Rose] *
64 [Tim Robbins] *
9 [Miles Chapin] *
1 [Lea Thompson] *
289 [Howard the Duck] *
16 [Chip Zien] *
16 [Ed Gale] *
4 [Holly Robinson Peete] *
25 [Jeffrey Jones] *
4 [Jordan Prentice] *
9 [Lisa Sturz] *
16 [Liz Sagal] *
9 [Peter Baird] *
16 [Steve Sleap] *
1 [Tommy Swerdlow] *
9 [A Woman Under the Influence] *
1 [Love Streams] *
16 [Gena Rowlands]
)
= 4.93 x 10^21
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Vincent Barbi] *
1.14 [Paul Guilfoyle] *
1 [Mary Wells] *
1 [Tim Rose] *
1 [Tim Robbins] *
1 [Miles Chapin] *
1 [Lea Thompson] *
1 [Howard the Duck] *
1 [Chip Zien] *
1 [Ed Gale] *
1 [Holly Robinson Peete] *
1 [Jeffrey Jones] *
1 [Jordan Prentice] *
1 [Lisa Sturz] *
1 [Liz Sagal] *
1 [Peter Baird] *
1 [Steve Sleap] *
1 [Tommy Swerdlow] *
1 [A Woman Under the Influence] *
1 [Love Streams] *
1 [Gena Rowlands]
)
= 1.52
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
21
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.50%
(4.93 × 1021 overall)
Dominant nodes (excluded from chart)Howard the Duck 48.25%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)