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, 8) = 8
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 8 * 8 = 64
Base_Influence (IV) = $inbound / $outbound = 8 / 8 = 1
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 64 *
( 16 [Clark Baechle] *
4 [Ethan Jones] *
4 [Graham Ulicny] *
9 [Jacob Thiele] *
4 [Joel Petersen] *
4 [Matt Bowen] *
4 [Michael Wayne Dappen] *
9 [Todd Baechle] *
81 [Norman Bailer] *
4 [Park Ave.] *
4 [Depressed Buttons] *
144 [Digital Leather]
)
= 15.85T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Clark Baechle] *
1 [Ethan Jones] *
1 [Graham Ulicny] *
1 [Jacob Thiele] *
1 [Joel Petersen] *
1 [Matt Bowen] *
1 [Michael Wayne Dappen] *
1 [Todd Baechle] *
1 [Norman Bailer] *
1 [Park Ave.] *
1 [Depressed Buttons] *
1 [Digital Leather]
)
= 1
Outbound
8
Tags on post
Inbound
8
Posts tagging this
Connections
12
Total nodes
Base Node Strength
64
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Digital Leather 41.03%Norman Bailer 23.08%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)