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, 5) = 5
$outbound = max(1, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 5 = 25
Base_Influence (IV) = $inbound / $outbound = 5 / 5 = 1
// 3. Exponential Network Values (accumulating 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 25 *
( 12 [Leslie Grossman] *
20 [Chauncey Leopardi] *
30 [Harrison Young] *
16 [Lyle Lovett] *
4 [Martin Donovan] *
49 [Lisa Kudrow] *
36 [Johnny Galecki] *
4 [Heather Fairfield] *
324 [The Opposite of Sex] *
9 [Christina Ricci] *
9 [Colin Ferguson] *
1 [Amy Atkins] *
1 [Dan Bucatinsky] *
1 [Emily Newman] *
16 [Ivan Sergei] *
1 [Pancho Demmings] *
1 [Rodney Eastman] *
4 [William Lee Scott] *
1 [Eyeborgs] *
1 [Pursuit of Happiness] *
1 [Kindness: It's Super Smiley] *
1 [Super Smiley Flash Mob: A Dogumentary]
)
= 1.37 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Leslie Grossman] *
1.25 [Chauncey Leopardi] *
1.2 [Harrison Young] *
1 [Lyle Lovett] *
1 [Martin Donovan] *
1 [Lisa Kudrow] *
1 [Johnny Galecki] *
1 [Heather Fairfield] *
1 [The Opposite of Sex] *
1 [Christina Ricci] *
1 [Colin Ferguson] *
1 [Amy Atkins] *
1 [Dan Bucatinsky] *
1 [Emily Newman] *
1 [Ivan Sergei] *
1 [Pancho Demmings] *
1 [Rodney Eastman] *
1 [William Lee Scott] *
1 [Eyeborgs] *
1 [Pursuit of Happiness] *
1 [Kindness: It's Super Smiley] *
1 [Super Smiley Flash Mob: A Dogumentary]
)
= 2
Outbound
5
Tags on post
Inbound
5
Posts tagging this
Connections
22
Total nodes
Base Node Strength
25
Base Node Influence
1
Strength Share (vs Direct Neighbours)
4.41%
(1.37 × 1017 overall)
Dominant nodes (excluded from chart)The Opposite of Sex 57.14%Lisa Kudrow 8.64%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)