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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 20 [Gil Taylor] *
64 [Magrudergrind] *
1 [Avi Kulawy] *
1 [Chris Moore] *
1 [RJ Ober] *
1 [Casey Moore (3)] *
1 [Marc Levin (2)] *
1 [Mourice Alvarado] *
1 [R.J. Ober] *
4 [Mike Beams] *
9 [Col Jones] *
1 [Aaron Freeman (3)] *
16 [Scott Carlson] *
4 [Matt Olivo] *
1 [Dave Hollingshead] *
9 [Marissa Martinez-Hoadley] *
36 [Matt Harvey (2)] *
90 [Repulsion]
)
= 343.99B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Gil Taylor] *
1 [Magrudergrind] *
1 [Avi Kulawy] *
1 [Chris Moore] *
1 [RJ Ober] *
1 [Casey Moore (3)] *
1 [Marc Levin (2)] *
1 [Mourice Alvarado] *
1 [R.J. Ober] *
1 [Mike Beams] *
1 [Col Jones] *
1 [Aaron Freeman (3)] *
1 [Scott Carlson] *
1 [Matt Olivo] *
1 [Dave Hollingshead] *
1 [Marissa Martinez-Hoadley] *
1 [Matt Harvey (2)] *
0.9 [Repulsion]
)
= 1.13
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
18
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Repulsion 33.96%Magrudergrind 24.15%Matt Harvey (2) 13.58%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)