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 *
( 9 [Cole Hauser] *
196 [Bruce Willis] *
25 [Mary Elizabeth Winstead] *
25 [Iván Kamarás] *
361 [A Good Day to Die Hard] *
4 [Amaury Nolasco] *
1 [April Grace] *
16 [Jai Courtney] *
16 [Megalyn Echikunwoke] *
16 [Melissa Tang] *
1 [Pasha D. Lychnikoff] *
16 [Péter Takátsy] *
16 [Radivoje Bukvic] *
1 [Rico Simonini] *
16 [Roman Luknár] *
16 [Sebastian Koch] *
1 [Sergey Kolesnikov] *
16 [Yulia Snigir] *
12 [Zolee Ganxsta]
)
= 8.21 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Cole Hauser] *
1 [Bruce Willis] *
1 [Mary Elizabeth Winstead] *
1 [Iván Kamarás] *
1 [A Good Day to Die Hard] *
1 [Amaury Nolasco] *
1 [April Grace] *
1 [Jai Courtney] *
1 [Megalyn Echikunwoke] *
1 [Melissa Tang] *
1 [Pasha D. Lychnikoff] *
1 [Péter Takátsy] *
1 [Radivoje Bukvic] *
1 [Rico Simonini] *
1 [Roman Luknár] *
1 [Sebastian Koch] *
1 [Sergey Kolesnikov] *
1 [Yulia Snigir] *
0.75 [Zolee Ganxsta]
)
= 0.75
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)
0.13%
(8.21 × 1019 overall)
Dominant nodes (excluded from chart)A Good Day to Die Hard 47.19%Bruce Willis 25.62%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)