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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 64 [John C. Reilly] *
64 [Tilda Swinton] *
324 [We Need to Talk About Kevin] *
16 [Ezra Miller] *
4 [Alex Manette] *
1 [Andy Gershenzon] *
4 [Ashley Gerasimovich] *
1 [Blake DeLong] *
16 [J. Mallory McCree] *
1 [James Chen] *
16 [Jasper Newell] *
1 [Lauren Fox] *
16 [Leslie Lyles] *
1 [Mark Elliot Wilson] *
1 [Michael Campbell] *
1 [Paul Diomede] *
1 [Rocky Duer] *
36 [Siobhan Fallon Hogan]
)
= 50.1T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [John C. Reilly] *
1 [Tilda Swinton] *
1 [We Need to Talk About Kevin] *
1 [Ezra Miller] *
1 [Alex Manette] *
1 [Andy Gershenzon] *
1 [Ashley Gerasimovich] *
1 [Blake DeLong] *
1 [J. Mallory McCree] *
1 [James Chen] *
1 [Jasper Newell] *
1 [Lauren Fox] *
1 [Leslie Lyles] *
1 [Mark Elliot Wilson] *
1 [Michael Campbell] *
1 [Paul Diomede] *
1 [Rocky Duer] *
1 [Siobhan Fallon Hogan]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)We Need to Talk About Kevin 56.94%John C. Reilly 11.25%Tilda Swinton 11.25%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)