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 *
( 20 [Jonathan Tucker] *
25 [Larisa Oleynik] *
25 [Emmanuelle Chriqui] *
4 [Aimee Graham] *
25 [Katherine Heigl] *
324 [100 Girls] *
1 [Ange Billman] *
1 [Anya Marina] *
1 [Jaime Pressly] *
1 [James DeBello] *
4 [Johnny Green] *
1 [Josephine Angelini] *
1 [Julieanne Steger] *
1 [Kristin Herold] *
1 [Kristina Anapau] *
1 [Marissa Ribisi] *
1 [Rainbeau Mars] *
1 [Mónica Huarte]
)
= 1.62B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Jonathan Tucker] *
1 [Larisa Oleynik] *
1 [Emmanuelle Chriqui] *
1 [Aimee Graham] *
1 [Katherine Heigl] *
1 [100 Girls] *
1 [Ange Billman] *
1 [Anya Marina] *
1 [Jaime Pressly] *
1 [James DeBello] *
1 [Johnny Green] *
1 [Josephine Angelini] *
1 [Julieanne Steger] *
1 [Kristin Herold] *
1 [Kristina Anapau] *
1 [Marissa Ribisi] *
1 [Rainbeau Mars] *
1 [Mónica Huarte]
)
= 1.25
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)100 Girls 73.80%Larisa Oleynik 5.69%Emmanuelle Chriqui 5.69%Katherine Heigl 5.69%Jonathan Tucker 4.56%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)