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 *
( 25 [Christopher Lee] *
16 [David St. James] *
25 [Ron Perlman] *
36 [George Gaynes] *
16 [Michael Winslow] *
324 [Police Academy: Mission to Moscow] *
1 [Charlie Schlatter] *
25 [Claire Forlani] *
4 [David Graf] *
25 [Gregg Berger] *
4 [Leslie Easterbrook] *
1 [Pamela Guest] *
1 [Richard Israel] *
25 [Stuart Nisbet] *
4 [G.W. Bailey] *
1 [Vadim Dolgachov] *
1 [Valeriy Yaremenko] *
1 [Vladimir Dolinskiy]
)
= 1.87 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Christopher Lee] *
1 [David St. James] *
1 [Ron Perlman] *
1 [George Gaynes] *
1 [Michael Winslow] *
1 [Police Academy: Mission to Moscow] *
1 [Charlie Schlatter] *
1 [Claire Forlani] *
1 [David Graf] *
1 [Gregg Berger] *
1 [Leslie Easterbrook] *
1 [Pamela Guest] *
1 [Richard Israel] *
1 [Stuart Nisbet] *
1 [G.W. Bailey] *
1 [Vadim Dolgachov] *
1 [Valeriy Yaremenko] *
1 [Vladimir Dolinskiy]
)
= 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)
0.19%
(1.87 × 1015 overall)
Dominant nodes (excluded from chart)Police Academy: Mission to Moscow 60.45%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)