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, 4) = 4
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 4 = 16
Base_Influence (IV) = $inbound / $outbound = 4 / 4 = 1
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 64 [The Faint] *
4 [Ethan Jones] *
4 [Graham Ulicny] *
9 [Jacob Thiele] *
4 [Joel Petersen] *
4 [Matt Bowen] *
4 [Michael Wayne Dappen] *
9 [Todd Baechle] *
121 [Conor Oberst] *
81 [Norman Bailer] *
4 [Park Ave.] *
4 [Depressed Buttons]
)
= 13.32T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [The Faint] *
1 [Ethan Jones] *
1 [Graham Ulicny] *
1 [Jacob Thiele] *
1 [Joel Petersen] *
1 [Matt Bowen] *
1 [Michael Wayne Dappen] *
1 [Todd Baechle] *
1 [Conor Oberst] *
1 [Norman Bailer] *
1 [Park Ave.] *
1 [Depressed Buttons]
)
= 1
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
12
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Conor Oberst 36.89%Norman Bailer 24.70%The Faint 19.51%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)