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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 121 [John McBain] *
25 [Scott Garrett] *
289 [Monster Magnet] *
4 [Alec Morton] *
16 [Bob Pantella] *
9 [Chris Kosnik] *
1 [Dave Wyndorf] *
9 [Ed Mundell] *
4 [Garrett Sweeny] *
1 [Jim Baglino] *
1 [Joe Calandra] *
1 [Jon Kleiman] *
4 [Michael Wildwood] *
1 [Phil Caivano] *
1 [Monster Magnet - Alpen Flair 2023] *
1 [Monster Magnet - Schlachthof Wiesbaden 2020] *
1 [Monster Magnet - Rock Hard Festival 2014]
)
= 72.51B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [John McBain] *
1 [Scott Garrett] *
1 [Monster Magnet] *
1 [Alec Morton] *
1 [Bob Pantella] *
1 [Chris Kosnik] *
1 [Dave Wyndorf] *
1 [Ed Mundell] *
1 [Garrett Sweeny] *
1 [Jim Baglino] *
1 [Joe Calandra] *
1 [Jon Kleiman] *
1 [Michael Wildwood] *
1 [Phil Caivano] *
1 [Monster Magnet - Alpen Flair 2023] *
1 [Monster Magnet - Schlachthof Wiesbaden 2020] *
1 [Monster Magnet - Rock Hard Festival 2014]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Monster Magnet 58.98%John McBain 24.69%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)