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 *
( 9 [Gucci Mane] *
64 [Selena Gomez] *
16 [Ashley Benson] *
121 [James Franco] *
324 [Spring Breakers] *
16 [Vanessa Hudgens] *
1 [Ash Lendzion] *
1 [Emma Holzer] *
9 [Heather Elizabeth Morris] *
4 [Jeff Jarrett] *
1 [John McClain] *
16 [Josh Randall] *
1 [Lee Irby] *
1 [Paige Anderson] *
16 [Rachel Korine] *
1 [Rebecca Kauffman] *
16 [Russell Stuart] *
1 [Tony Robinette]
)
= 852.42T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Gucci Mane] *
1 [Selena Gomez] *
1 [Ashley Benson] *
1 [James Franco] *
1 [Spring Breakers] *
1 [Vanessa Hudgens] *
1 [Ash Lendzion] *
1 [Emma Holzer] *
1 [Heather Elizabeth Morris] *
1 [Jeff Jarrett] *
1 [John McClain] *
1 [Josh Randall] *
1 [Lee Irby] *
1 [Paige Anderson] *
1 [Rachel Korine] *
1 [Rebecca Kauffman] *
1 [Russell Stuart] *
1 [Tony Robinette]
)
= 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)
Dominant nodes (excluded from chart)Spring Breakers 52.34%James Franco 19.55%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)