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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 12 [Michael Countryman] *
420 [Michael Clayton] *
4 [Austin Williams] *
16 [David Lansbury] *
81 [Tom Wilkinson] *
64 [Tilda Swinton] *
16 [Heidi Armbruster] *
1 [Alberto Vazquez] *
16 [Bill Raymond] *
16 [Brian Koppelman] *
4 [Frank Wood] *
1 [Jennifer Van Dyck] *
1 [Jonathan Walker] *
36 [Julie White] *
1 [Richard Hecht] *
16 [Tom McCarthy] *
1 [Wai Chan] *
9 [Merritt Wever] *
25 [John Douglas Thompson] *
25 [Denis O'Hare]
)
= 8.88 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Michael Countryman] *
1.05 [Michael Clayton] *
1 [Austin Williams] *
1 [David Lansbury] *
1 [Tom Wilkinson] *
1 [Tilda Swinton] *
1 [Heidi Armbruster] *
1 [Alberto Vazquez] *
1 [Bill Raymond] *
1 [Brian Koppelman] *
1 [Frank Wood] *
1 [Jennifer Van Dyck] *
1 [Jonathan Walker] *
1 [Julie White] *
1 [Richard Hecht] *
1 [Tom McCarthy] *
1 [Wai Chan] *
1 [Merritt Wever] *
1 [John Douglas Thompson] *
1 [Denis O'Hare]
)
= 1.4
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.13%
(8.88 × 1019 overall)
Dominant nodes (excluded from chart)Michael Clayton 54.83%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)