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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 380 [The Curious Case of Benjamin Button] *
100 [Brad Pitt] *
81 [Cate Blanchett] *
36 [Jason Flemyng] *
64 [Tilda Swinton] *
25 [Richmond Arquette] *
64 [Mahershala Ali] *
16 [Danny Vinson] *
25 [Tom Everett] *
4 [Donna Duplantier] *
9 [David Jensen] *
1 [Earl Maddox] *
16 [Ed Metzger] *
9 [Elias Koteas] *
1 [Faune Chambers Watkins] *
1 [Fiona Hale] *
1 [Jacob Tolano] *
1 [Joeanna Sayler] *
4 [Taraji P. Henson]
)
= 9.41 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.05 [The Curious Case of Benjamin Button] *
1 [Brad Pitt] *
1 [Cate Blanchett] *
1 [Jason Flemyng] *
1 [Tilda Swinton] *
1 [Richmond Arquette] *
1 [Mahershala Ali] *
1 [Danny Vinson] *
1 [Tom Everett] *
1 [Donna Duplantier] *
1 [David Jensen] *
1 [Earl Maddox] *
1 [Ed Metzger] *
1 [Elias Koteas] *
1 [Faune Chambers Watkins] *
1 [Fiona Hale] *
1 [Jacob Tolano] *
1 [Joeanna Sayler] *
1 [Taraji P. Henson]
)
= 1.05
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.12%
(9.41 × 1019 overall)
Dominant nodes (excluded from chart)The Curious Case of Benjamin Button 45.29%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)