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 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 144 [Digital Leather] *
9 [Chris Squire (2)] *
9 [Todd Baechle] *
1 [Austin Ulmer] *
1 [Bobby Hussy] *
1 [Jason Baker (4)] *
1 [Jeff Lambelet] *
1 [John Vredenburg] *
1 [Rusty Rousseau] *
1 [Ryan Rousseau] *
1 [Shawn Foree] *
1 [Steve Sleaze]
)
= 11.7K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Digital Leather] *
1 [Chris Squire (2)] *
1 [Todd Baechle] *
1 [Austin Ulmer] *
1 [Bobby Hussy] *
1 [Jason Baker (4)] *
1 [Jeff Lambelet] *
1 [John Vredenburg] *
1 [Rusty Rousseau] *
1 [Ryan Rousseau] *
1 [Shawn Foree] *
1 [Steve Sleaze]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
12
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Digital Leather 83.72%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)