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 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 169 [Heavy Blinkers] *
4 [Andrew Watt] *
1 [David Christensen] *
1 [Ellen Gibling] *
1 [Greg Fry] *
1 [Jason MacIsaac] *
25 [Jenn Grant] *
1 [John Cuming] *
4 [Melanie Stone] *
1 [Ruth Minnikin] *
1 [Stewart Legere] *
1 [Trevor Forbes] *
1 [Warda Limaye] *
64 [Gypsophilia] *
1 [Alec Frith] *
1 [Danny Oore] *
1 [Gina Burgess] *
1 [Matt Myer (2)] *
1 [Nick Wilkinson (2)] *
1 [Ross Burns] *
1 [Sageev Oore]
)
= 17.31M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Heavy Blinkers] *
1 [Andrew Watt] *
1 [David Christensen] *
1 [Ellen Gibling] *
1 [Greg Fry] *
1 [Jason MacIsaac] *
1 [Jenn Grant] *
1 [John Cuming] *
1 [Melanie Stone] *
1 [Ruth Minnikin] *
1 [Stewart Legere] *
1 [Trevor Forbes] *
1 [Warda Limaye] *
1 [Gypsophilia] *
1 [Alec Frith] *
1 [Danny Oore] *
1 [Gina Burgess] *
1 [Matt Myer (2)] *
1 [Nick Wilkinson (2)] *
1 [Ross Burns] *
1 [Sageev Oore]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
21
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Heavy Blinkers 59.09%Gypsophilia 22.38%Jenn Grant 8.74%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)