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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 36 [The Carpenters] *
121 [The Manhattan Transfer] *
64 [Janis Siegel] *
25 [Tim Hauser] *
16 [Cheryl Bentyne] *
16 [Alan Paul] *
9 [Erin Dickins] *
9 [Laurel Massé] *
9 [Marty Nelson] *
9 [Pat Rosalia] *
4 [Margaret Dorn] *
9 [Trist Ethan Curless] *
16 [Lawrence Hilton-Jacobs] *
36 [Randy Edelman] *
4 [Karen Carpenter] *
4 [Richard Carpenter] *
4 [Tony Peluso]
)
= 6.21 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [The Carpenters] *
1 [The Manhattan Transfer] *
1 [Janis Siegel] *
1 [Tim Hauser] *
1 [Cheryl Bentyne] *
1 [Alan Paul] *
1 [Erin Dickins] *
1 [Laurel Massé] *
1 [Marty Nelson] *
1 [Pat Rosalia] *
1 [Margaret Dorn] *
1 [Trist Ethan Curless] *
1 [Lawrence Hilton-Jacobs] *
1 [Randy Edelman] *
1 [Karen Carpenter] *
1 [Richard Carpenter] *
1 [Tony Peluso]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
17
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.01%
(6.21 × 1019 overall)
Dominant nodes (excluded from chart)The Manhattan Transfer 30.63%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)