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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 2 [Elizabeth Woolnough] *
361 [Australian Chamber Orchestra] *
9 [Christian Lindberg] *
4 [Emma Jane Murphy] *
4 [Alice Evans] *
1 [Aiko Goto] *
1 [Ali Yazdanfar] *
1 [Alison Mitchell (2)] *
1 [Alissa Smith] *
1 [Amber Davis (2)] *
1 [Angela Hewitt] *
1 [Brendon Lukin] *
4 [Carl Pini] *
1 [Carla Maria Rodrigues] *
1 [Caroline Henbest] *
1 [Christina Katsimbardis] *
1 [Christopher Moore (4)] *
1 [Daniel Yeadon] *
1 [Emma Sholl]
)
= 415.9K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 2 [Elizabeth Woolnough] *
1 [Australian Chamber Orchestra] *
1 [Christian Lindberg] *
1 [Emma Jane Murphy] *
1 [Alice Evans] *
1 [Aiko Goto] *
1 [Ali Yazdanfar] *
1 [Alison Mitchell (2)] *
1 [Alissa Smith] *
1 [Amber Davis (2)] *
1 [Angela Hewitt] *
1 [Brendon Lukin] *
1 [Carl Pini] *
1 [Carla Maria Rodrigues] *
1 [Caroline Henbest] *
1 [Christina Katsimbardis] *
1 [Christopher Moore (4)] *
1 [Daniel Yeadon] *
1 [Emma Sholl]
)
= 2
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Australian Chamber Orchestra 90.70%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)