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 *
( 100 [Stanley Tucci] *
225 [Mark Ruffalo] *
361 [Spotlight] *
16 [John Slattery] *
64 [Michael Keaton] *
64 [Rachel McAdams] *
4 [Robert B. Kennedy] *
49 [Billy Crudup] *
9 [Doug Murray] *
1 [Duane Murray] *
4 [Gene Amoroso] *
1 [Liev Schreiber] *
1 [Michael Cyril Creighton] *
4 [Neal Huff] *
1 [Sharon McFarlane] *
16 [Don Allison] *
9 [Jamey Sheridan] *
1 [Brian Chamberlain] *
1 [Brian d'Arcy James]
)
= 2.16 x 10^18
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Stanley Tucci] *
1 [Mark Ruffalo] *
1 [Spotlight] *
1 [John Slattery] *
1 [Michael Keaton] *
1 [Rachel McAdams] *
1 [Robert B. Kennedy] *
1 [Billy Crudup] *
1 [Doug Murray] *
1 [Duane Murray] *
1 [Gene Amoroso] *
1 [Liev Schreiber] *
1 [Michael Cyril Creighton] *
1 [Neal Huff] *
1 [Sharon McFarlane] *
1 [Don Allison] *
1 [Jamey Sheridan] *
1 [Brian Chamberlain] *
1 [Brian d'Arcy James]
)
= 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)
0.11%
(2.16 × 1018 overall)
Dominant nodes (excluded from chart)Spotlight 38.73%Mark Ruffalo 24.14%Stanley Tucci 10.73%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)