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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 16 [Paul Dooley] *
4 [Dennis Christopher] *
4 [Peter Maloney] *
16 [Daniel Stern] *
16 [Hart Bochner] *
4 [Amy Wright] *
25 [Dennis Quaid] *
25 [Robyn Douglass] *
36 [Jackie Earle Haley] *
289 [Breaking Away] *
1 [Barbara Barrie] *
1 [David K. Blase] *
1 [Howard S. Wilcox] *
1 [Jennifer K. Mickel] *
1 [P.J. Soles] *
1 [William S. Armstrong] *
1 [J.F. Brière]
)
= 1.7T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Paul Dooley] *
1 [Dennis Christopher] *
1 [Peter Maloney] *
1 [Daniel Stern] *
1 [Hart Bochner] *
1 [Amy Wright] *
1 [Dennis Quaid] *
1 [Robyn Douglass] *
1 [Jackie Earle Haley] *
1 [Breaking Away] *
1 [Barbara Barrie] *
1 [David K. Blase] *
1 [Howard S. Wilcox] *
1 [Jennifer K. Mickel] *
1 [P.J. Soles] *
1 [William S. Armstrong] *
1 [J.F. Brière]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Breaking Away 65.24%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)