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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 49 [Brendan Canning] *
64 [Brian Borcherdt] *
25 [Loel Campbell] *
324 [By Divine Right] *
1 [Alysha Haugen] *
1 [Cam Bull] *
1 [Cam Giroux] *
1 [Colleen Hixenbaugh] *
1 [Darcy Rego] *
1 [Dave Joseph (2)] *
1 [Derek Downham] *
1 [Geordie Dynes] *
1 [Jason Nunes] *
1 [John Hall (10)] *
1 [Julien Beillard] *
1 [Leslie Feist] *
1 [Liz Teear] *
1 [Mark Goldstein]
)
= 25.4M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Brendan Canning] *
1 [Brian Borcherdt] *
1 [Loel Campbell] *
1 [By Divine Right] *
1 [Alysha Haugen] *
1 [Cam Bull] *
1 [Cam Giroux] *
1 [Colleen Hixenbaugh] *
1 [Darcy Rego] *
1 [Dave Joseph (2)] *
1 [Derek Downham] *
1 [Geordie Dynes] *
1 [Jason Nunes] *
1 [John Hall (10)] *
1 [Julien Beillard] *
1 [Leslie Feist] *
1 [Liz Teear] *
1 [Mark Goldstein]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)By Divine Right 67.92%Brian Borcherdt 13.42%Brendan Canning 10.27%Loel Campbell 5.24%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)