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 [Kenneth Tsang] *
20 [Ziyi Zhang] *
25 [Jackie Chan] *
9 [Verena Mei] *
49 [Chris Tucker] *
16 [Harris Yulin] *
400 [Rush Hour 2] *
9 [Alan King] *
25 [Cindy Lu] *
1 [Gelbert Coloma] *
25 [John Lone] *
1 [Lucy Lin] *
49 [Maggie Q] *
1 [Mei Ling Wong] *
25 [Mei Melançon] *
1 [Patricia Chan] *
16 [Roselyn Sanchez] *
1 [William Wai-Lun Duen] *
1 [Wing Sang Pang] *
25 [Simon Rhee]
)
= 4.67 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Kenneth Tsang] *
1.25 [Ziyi Zhang] *
1 [Jackie Chan] *
1 [Verena Mei] *
1 [Chris Tucker] *
1 [Harris Yulin] *
1 [Rush Hour 2] *
1 [Alan King] *
1 [Cindy Lu] *
1 [Gelbert Coloma] *
1 [John Lone] *
1 [Lucy Lin] *
1 [Maggie Q] *
1 [Mei Ling Wong] *
1 [Mei Melançon] *
1 [Patricia Chan] *
1 [Roselyn Sanchez] *
1 [William Wai-Lun Duen] *
1 [Wing Sang Pang] *
1 [Simon Rhee]
)
= 1.67
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)
0.14%
(4.67 × 1019 overall)
Dominant nodes (excluded from chart)Rush Hour 2 56.18%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)