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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 12 [Andre Braugher] *
361 [Brooklyn Nine-Nine] *
36 [Andy Samberg] *
9 [Nick Cannon] *
16 [Stephanie Beatriz] *
9 [Chelsea Peretti] *
16 [Craig Robinson] *
16 [Dean Winters] *
9 [Dirk Blocker] *
16 [Jason Mantzoukas] *
36 [Joe Lo Truglio] *
16 [Joel McKinnon Miller] *
4 [Kevin Dorff] *
25 [Kyle Bornheimer] *
36 [Kyra Sedgwick] *
16 [Marc Evan Jackson] *
100 [Terry Crews] *
16 [Winston Story] *
25 [Nicole Bilderback]
)
= 9.89 x 10^24
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Andre Braugher] *
1 [Brooklyn Nine-Nine] *
1 [Andy Samberg] *
1 [Nick Cannon] *
1 [Stephanie Beatriz] *
1 [Chelsea Peretti] *
1 [Craig Robinson] *
1 [Dean Winters] *
1 [Dirk Blocker] *
1 [Jason Mantzoukas] *
1 [Joe Lo Truglio] *
1 [Joel McKinnon Miller] *
1 [Kevin Dorff] *
1 [Kyle Bornheimer] *
1 [Kyra Sedgwick] *
1 [Marc Evan Jackson] *
1 [Terry Crews] *
1 [Winston Story] *
1 [Nicole Bilderback]
)
= 1.33
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.13%
(9.89 × 1024 overall)
Dominant nodes (excluded from chart)Brooklyn Nine-Nine 46.58%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)