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 *
( 169 [Phil Collins] *
16 [Peter Robinson] *
196 [Kenny Grohowski] *
289 [BRAND X] *
49 [John Goodsall] *
25 [John Giblin] *
4 [Mike Clark (2)] *
4 [Pierre Moerlen] *
4 [Alex Machacek] *
1 [Chris Clark (17)] *
1 [Franz Putsch] *
1 [Kenwood Dennard] *
1 [Kris Sjobring] *
1 [Mick Stevens (2)] *
1 [Mike Miller (7)] *
1 [Robin Lumley] *
1 [Scott Weinberger]
)
= 12.01T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Phil Collins] *
1 [Peter Robinson] *
1 [Kenny Grohowski] *
1 [BRAND X] *
1 [John Goodsall] *
1 [John Giblin] *
1 [Mike Clark (2)] *
1 [Pierre Moerlen] *
1 [Alex Machacek] *
1 [Chris Clark (17)] *
1 [Franz Putsch] *
1 [Kenwood Dennard] *
1 [Kris Sjobring] *
1 [Mick Stevens (2)] *
1 [Mike Miller (7)] *
1 [Robin Lumley] *
1 [Scott Weinberger]
)
= 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)BRAND X 37.78%Kenny Grohowski 25.62%Phil Collins 22.09%John Goodsall 6.41%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)