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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 6 [Reg Rogers] *
9 [Joey Diaz] *
36 [Billy Crystal] *
256 [Robert De Niro] *
9 [Joe Viterelli] *
16 [Kyle Sabihy] *
49 [Lisa Kudrow] *
4 [Rebecca Schull] *
16 [Firdous Bamji] *
25 [Cathy Moriarty] *
16 [Joseph Bono] *
400 [Analyze That] *
1 [Brian Rogalski] *
1 [Henry Morales-Ballet] *
1 [Jerome Le Page] *
1 [John F. Gooding] *
1 [Patrick Marcune] *
16 [Ted Neustadt] *
49 [Thomas Rosales Jr.] *
25 [Frank Aquilino]
)
= 7.05 x 10^20
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [Reg Rogers] *
1 [Joey Diaz] *
1 [Billy Crystal] *
1 [Robert De Niro] *
1 [Joe Viterelli] *
1 [Kyle Sabihy] *
1 [Lisa Kudrow] *
1 [Rebecca Schull] *
1 [Firdous Bamji] *
1 [Cathy Moriarty] *
1 [Joseph Bono] *
1 [Analyze That] *
1 [Brian Rogalski] *
1 [Henry Morales-Ballet] *
1 [Jerome Le Page] *
1 [John F. Gooding] *
1 [Patrick Marcune] *
1 [Ted Neustadt] *
1 [Thomas Rosales Jr.] *
1 [Frank Aquilino]
)
= 1.5
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.11%
(7.05 × 1020 overall)
Dominant nodes (excluded from chart)Analyze That 42.64%Robert De Niro 27.29%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)