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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 25 *
( 12 [Amy Sedaris] *
342 [The BFG] *
380 [The Perks of Being a Wallflower] *
9 [Johnny Simmons] *
4 [The To Do List] *
289 [Forget Paris] *
16 [Cynthia Stevenson] *
324 [Home for the Holidays] *
361 [The Player] *
49 [LITTLE WOMEN] *
16 [Marilyn Norry] *
169 [Beyond the Black Rainbow] *
9 [Aman Johal] *
324 [Theater Camp] *
1 [Puss in Boots] *
289 [Bad News Bears] *
1 [Preach]
)
= 8.48 x 10^28
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Amy Sedaris] *
1.06 [The BFG] *
1.05 [The Perks of Being a Wallflower] *
1 [Johnny Simmons] *
1 [The To Do List] *
1 [Forget Paris] *
1 [Cynthia Stevenson] *
1 [Home for the Holidays] *
1 [The Player] *
1 [LITTLE WOMEN] *
1 [Marilyn Norry] *
1 [Beyond the Black Rainbow] *
1 [Aman Johal] *
1 [Theater Camp] *
1 [Puss in Boots] *
1 [Bad News Bears] *
1 [Preach]
)
= 1.48
Outbound
5
Tags on post
Inbound
5
Posts tagging this
Connections
17
Total nodes
Base Node Strength
25
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.95%
(8.48 × 1028 overall)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)