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 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 16 [Dan Stevens] *
289 [Steve Buscemi] *
100 [Adam Sandler] *
16 [Dascha Polanco] *
49 [Sondra James] *
256 [The Cobbler] *
9 [Melonie Diaz] *
1 [Adrian Black] *
1 [Allen Lewis Rickman] *
1 [Donnie Keshawarz] *
1 [Ethan Khusidman] *
4 [Lynn Cohen] *
1 [Mike Versandi] *
1 [Adam B. Shapiro] *
9 [Wayne Wilderson] *
1 [Stuart Rudin]
)
= 30.07T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Dan Stevens] *
1 [Steve Buscemi] *
1 [Adam Sandler] *
1 [Dascha Polanco] *
1 [Sondra James] *
1 [The Cobbler] *
1 [Melonie Diaz] *
1 [Adrian Black] *
1 [Allen Lewis Rickman] *
1 [Donnie Keshawarz] *
1 [Ethan Khusidman] *
1 [Lynn Cohen] *
1 [Mike Versandi] *
1 [Adam B. Shapiro] *
1 [Wayne Wilderson] *
1 [Stuart Rudin]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
16
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Steve Buscemi 38.23%The Cobbler 33.86%Adam Sandler 13.23%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)