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 *
( 56 [Linda Cardellini] *
361 [Avengers: Age of Ultron] *
64 [Jeremy Renner] *
36 [Idris Elba] *
49 [Anthony Mackie] *
49 [Stellan Skarsgård] *
121 [Don Cheadle] *
49 [Paul Bettany] *
196 [Robert Downey Jr.] *
49 [Chris Hemsworth] *
49 [Elizabeth Olsen] *
225 [Mark Ruffalo] *
196 [Scarlett Johansson] *
36 [Hayley Atwell] *
225 [Samuel L. Jackson] *
16 [Mandla Gaduka] *
16 [Aaron Himelstein] *
16 [Aaron Taylor-Johnson] *
9 [Cobie Smulders]
)
= 4.11 x 10^33
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.14 [Linda Cardellini] *
1 [Avengers: Age of Ultron] *
1 [Jeremy Renner] *
1 [Idris Elba] *
1 [Anthony Mackie] *
1 [Stellan Skarsgård] *
1 [Don Cheadle] *
1 [Paul Bettany] *
1 [Robert Downey Jr.] *
1 [Chris Hemsworth] *
1 [Elizabeth Olsen] *
1 [Mark Ruffalo] *
1 [Scarlett Johansson] *
1 [Hayley Atwell] *
1 [Samuel L. Jackson] *
1 [Mandla Gaduka] *
1 [Aaron Himelstein] *
1 [Aaron Taylor-Johnson] *
1 [Cobie Smulders]
)
= 1.14
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)
0.05%
(4.11 × 1033 overall)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)