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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 25 [Sadistik Exekution] *
1 [Dave Slave] *
1 [Rok (5)] *
1 [Sandy Vahdanni] *
1 [Sloth (4)] *
225 [Nazxul] *
9 [Mitchell Keepin] *
289 [Tim Yatras] *
9 [Peter Kostic] *
1 [Adrian Henderson] *
1 [Dalibor Backovic] *
1 [Daniel Coombs] *
1 [Daniel Lomas] *
1 [Greg Morelli] *
1 [John McLaughlin (6)] *
1 [Lachlan Mitchell] *
1 [Luke Mills (2)] *
1 [Morte (7)] *
1 [Peter Peric] *
1 [Steve Hughes (5)]
)
= 526.7M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Sadistik Exekution] *
1 [Dave Slave] *
1 [Rok (5)] *
1 [Sandy Vahdanni] *
1 [Sloth (4)] *
1 [Nazxul] *
1 [Mitchell Keepin] *
1 [Tim Yatras] *
1 [Peter Kostic] *
1 [Adrian Henderson] *
1 [Dalibor Backovic] *
1 [Daniel Coombs] *
1 [Daniel Lomas] *
1 [Greg Morelli] *
1 [John McLaughlin (6)] *
1 [Lachlan Mitchell] *
1 [Luke Mills (2)] *
1 [Morte (7)] *
1 [Peter Peric] *
1 [Steve Hughes (5)]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
20
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Tim Yatras 50.17%Nazxul 39.06%Sadistik Exekution 4.34%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)