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 *
( 20 [Melanie Lynskey] *
4 [Mary Kay Place] *
9 [Mary Lynn Rajskub] *
16 [Jean Smart] *
25 [Candice Bergen] *
25 [Dakota Fanning] *
36 [Fred Ward] *
289 [Sweet Home Alabama] *
64 [Reese Witherspoon] *
4 [Nathan Lee Graham] *
1 [Courtney Gains] *
4 [Ethan Embry] *
4 [Josh Lucas] *
9 [Kevin Sussman] *
25 [Rhona Mitra] *
16 [Sean Bridgers] *
1 [Thomas Curtis]
)
= 1.10 x 10^18
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Melanie Lynskey] *
1 [Mary Kay Place] *
1 [Mary Lynn Rajskub] *
1 [Jean Smart] *
1 [Candice Bergen] *
1 [Dakota Fanning] *
1 [Fred Ward] *
1 [Sweet Home Alabama] *
1 [Reese Witherspoon] *
1 [Nathan Lee Graham] *
1 [Courtney Gains] *
1 [Ethan Embry] *
1 [Josh Lucas] *
1 [Kevin Sussman] *
1 [Rhona Mitra] *
1 [Sean Bridgers] *
1 [Thomas Curtis]
)
= 1.25
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)
0.18%
(1.10 × 1018 overall)
Dominant nodes (excluded from chart)Sweet Home Alabama 52.26%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)