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, 7) = 7
$outbound = max(1, 7) = 7
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 7 * 7 = 49
Base_Influence (IV) = $inbound / $outbound = 7 / 7 = 1
// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 49 *
( 81 [Chris Squire] *
4 [Squackett] *
64 [Steve Howe] *
16 [Nigel Glockler] *
9 [Jonathan Mover] *
16 [GTR (2)] *
529 [Mike Portnoy] *
144 [Neal Morse] *
9 [The Prog World Orchestra] *
1 [Quiet World] *
1 [Seconds Out Live - The Steve Hackett Band live at Cambridge Corn Exchange] *
1 [Steve Hackett & band live at The Cliffs Pavillion, Southend on Sea] *
1 [Steve Hackett - Parker Playhouse - April 5, 2014]
)
= 1.60 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Chris Squire] *
1 [Squackett] *
1 [Steve Howe] *
1 [Nigel Glockler] *
1 [Jonathan Mover] *
1 [GTR (2)] *
1 [Mike Portnoy] *
1 [Neal Morse] *
1 [The Prog World Orchestra] *
1 [Quiet World] *
1 [Seconds Out Live - The Steve Hackett Band live at Cambridge Corn Exchange] *
1 [Steve Hackett & band live at The Cliffs Pavillion, Southend on Sea] *
1 [Steve Hackett - Parker Playhouse - April 5, 2014]
)
= 1
Outbound
7
Tags on post
Inbound
7
Posts tagging this
Connections
13
Total nodes
Base Node Strength
49
Base Node Influence
1
Strength Share (vs Direct Neighbours)
5.30%
(1.60 × 1015 overall)
Dominant nodes (excluded from chart)Mike Portnoy 57.19%Neal Morse 15.57%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)