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 *
( 121 [Kurt Russell] *
4 [Jeff Imada] *
9 [Kate Burton] *
16 [Al Leong] *
9 [Kim Cattrall] *
36 [James Hong] *
361 [Big Trouble in Little China] *
1 [Carter Wong] *
1 [Chao Li Chi] *
1 [Craig Ng] *
1 [Dennis Dun] *
1 [Donald Li] *
1 [Jade Go] *
1 [James Pax] *
1 [June Kyoto Lu] *
1 [Peter Kwong] *
1 [Rummel Mor] *
1 [Suzee Pai] *
1 [Victor Wong]
)
= 8.15B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Kurt Russell] *
1 [Jeff Imada] *
1 [Kate Burton] *
1 [Al Leong] *
1 [Kim Cattrall] *
1 [James Hong] *
1 [Big Trouble in Little China] *
1 [Carter Wong] *
1 [Chao Li Chi] *
1 [Craig Ng] *
1 [Dennis Dun] *
1 [Donald Li] *
1 [Jade Go] *
1 [James Pax] *
1 [June Kyoto Lu] *
1 [Peter Kwong] *
1 [Rummel Mor] *
1 [Suzee Pai] *
1 [Victor Wong]
)
= 1
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)
Dominant nodes (excluded from chart)Big Trouble in Little China 63.44%Kurt Russell 21.27%James Hong 6.33%Al Leong 2.81%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)