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 *
( 4 [Tom Selleck] *
49 [Donnie Wahlberg] *
16 [Kresh Novakovic] *
49 [Bridget Moynahan] *
16 [Nicholas Turturro] *
361 [Blue Bloods] *
16 [Jennifer Esposito] *
16 [Steve Schirripa] *
16 [Abigail Hawk] *
25 [Amy Carlson] *
1 [Andrew Terraciano] *
1 [Gregory Jbara] *
9 [Len Cariou] *
1 [Marisa Ramirez] *
25 [Robert Clohessy] *
1 [Roger Brenner] *
16 [Sami Gayle] *
1 [Tony Terraciano] *
1 [Will Estes]
)
= 3.27 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Tom Selleck] *
1 [Donnie Wahlberg] *
1 [Kresh Novakovic] *
1 [Bridget Moynahan] *
1 [Nicholas Turturro] *
1 [Blue Bloods] *
1 [Jennifer Esposito] *
1 [Steve Schirripa] *
1 [Abigail Hawk] *
1 [Amy Carlson] *
1 [Andrew Terraciano] *
1 [Gregory Jbara] *
1 [Len Cariou] *
1 [Marisa Ramirez] *
1 [Robert Clohessy] *
1 [Roger Brenner] *
1 [Sami Gayle] *
1 [Tony Terraciano] *
1 [Will Estes]
)
= 1
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)
0.16%
(3.27 × 1017 overall)
Dominant nodes (excluded from chart)Blue Bloods 57.76%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)