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 *
( 9 [Chris Owens] *
9 [Ed Mundell] *
16 [Peter Searcy] *
4 [Adam Neal] *
4 [Eric McManus] *
4 [Todd Cook] *
289 [The Glasspack] *
1 [Andy Garrett] *
1 [Brett Holsclaw] *
1 [Brian Foor] *
1 [Chad Omen] *
1 [Dave Johnson (9)] *
1 [Marcus Moody] *
1 [Matt Jaha] *
1 [Matt Tucker (4)] *
1 [Phil Durr] *
1 [Tony Bailey]
)
= 23.97M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Chris Owens] *
1 [Ed Mundell] *
1 [Peter Searcy] *
1 [Adam Neal] *
1 [Eric McManus] *
1 [Todd Cook] *
1 [The Glasspack] *
1 [Andy Garrett] *
1 [Brett Holsclaw] *
1 [Brian Foor] *
1 [Chad Omen] *
1 [Dave Johnson (9)] *
1 [Marcus Moody] *
1 [Matt Jaha] *
1 [Matt Tucker (4)] *
1 [Phil Durr] *
1 [Tony Bailey]
)
= 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)The Glasspack 83.53%Peter Searcy 4.62%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)