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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 225 [Dave Cochrane] *
36 [Greymachine] *
441 [Justin Broadrick] *
64 [Diarmuid Dalton] *
25 [Justin K Broadrick] *
1 [Dave Cochrane (2)] *
49 [House Of Low Culture] *
49 [Josh Graham] *
225 [James Plotkin] *
49 [Faith Coloccia] *
100 [Jeff Caxide] *
4 [Luke Scarola] *
16 [Stephen Brodsky] *
36 [Old Man Gloom] *
9 [Caleb Scofield] *
9 [Nate Newton] *
16 [Santos Montano]
)
= 4.07 x 10^26
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Dave Cochrane] *
1 [Greymachine] *
1 [Justin Broadrick] *
1 [Diarmuid Dalton] *
1 [Justin K Broadrick] *
1 [Dave Cochrane (2)] *
1 [House Of Low Culture] *
1 [Josh Graham] *
1 [James Plotkin] *
1 [Faith Coloccia] *
1 [Jeff Caxide] *
1 [Luke Scarola] *
1 [Stephen Brodsky] *
1 [Old Man Gloom] *
1 [Caleb Scofield] *
1 [Nate Newton] *
1 [Santos Montano]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
17
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.66%
(4.07 × 1026 overall)
Dominant nodes (excluded from chart)Justin Broadrick 32.36%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)