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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 9 [Dave Allen] *
25 [Kaitlyn Dever] *
49 [Cameron Diaz] *
25 [Jason Segel] *
9 [John Michael Higgins] *
289 [Bad Teacher] *
1 [Adrian Kali Turner] *
1 [Aja Bair] *
25 [Andra Nechita] *
1 [Daniel Castro] *
1 [Jillian Armenante] *
25 [Kathryn Newton] *
9 [Lucy Punch] *
1 [Matthew J. Evans] *
16 [Noah Munck] *
9 [Phyllis Smith] *
4 [Finneas O'Connell]
)
= 2.32 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Dave Allen] *
1 [Kaitlyn Dever] *
1 [Cameron Diaz] *
1 [Jason Segel] *
1 [John Michael Higgins] *
1 [Bad Teacher] *
1 [Adrian Kali Turner] *
1 [Aja Bair] *
1 [Andra Nechita] *
1 [Daniel Castro] *
1 [Jillian Armenante] *
1 [Kathryn Newton] *
1 [Lucy Punch] *
1 [Matthew J. Evans] *
1 [Noah Munck] *
1 [Phyllis Smith] *
1 [Finneas O'Connell]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.20%
(2.32 × 1015 overall)
Dominant nodes (excluded from chart)Bad Teacher 57.80%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)