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 *
( 16 [Robert Davi] *
49 [Kyle MacLachlan] *
16 [Gina Gershon] *
16 [Alan Rachins] *
4 [Patrick Bristow] *
324 [Showgirls] *
9 [Al Ruscio] *
1 [Dewey Weber] *
16 [Elizabeth Berkley] *
9 [Gina Ravera] *
9 [Glenn Plummer] *
16 [Greg Travis] *
16 [Lin Tucci] *
1 [Melissa Williams] *
16 [Michelle Johnston] *
16 [Rena Riffel] *
1 [Ungela Brockman] *
1 [William Shockley]
)
= 1.99 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Robert Davi] *
1 [Kyle MacLachlan] *
1 [Gina Gershon] *
1 [Alan Rachins] *
1 [Patrick Bristow] *
1 [Showgirls] *
1 [Al Ruscio] *
1 [Dewey Weber] *
1 [Elizabeth Berkley] *
1 [Gina Ravera] *
1 [Glenn Plummer] *
1 [Greg Travis] *
1 [Lin Tucci] *
1 [Melissa Williams] *
1 [Michelle Johnston] *
1 [Rena Riffel] *
1 [Ungela Brockman] *
1 [William Shockley]
)
= 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%
(1.99 × 1017 overall)
Dominant nodes (excluded from chart)Showgirls 60.34%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)