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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 81 [The Passions] *
36 [Kevin Armstrong] *
1 [Barbara Gogan] *
1 [Claire Bidwell] *
1 [Dack Dyde] *
1 [David Agar] *
1 [Jeff Smith (9)] *
1 [Richard Williams (3)] *
1 [Stephen Wright] *
64 [The 101'ers] *
100 [Richard Dudanski] *
4 [John Mellor] *
1 [Alvaro Peña Rojas] *
1 [Dan Kelleher] *
1 [Marwood Chesterton] *
1 [Patrick Nother] *
1 [Antonio Narvà ez]
)
= 298.6M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [The Passions] *
1 [Kevin Armstrong] *
1 [Barbara Gogan] *
1 [Claire Bidwell] *
1 [Dack Dyde] *
1 [David Agar] *
1 [Jeff Smith (9)] *
1 [Richard Williams (3)] *
1 [Stephen Wright] *
1 [The 101'ers] *
1 [Richard Dudanski] *
1 [John Mellor] *
1 [Alvaro Peña Rojas] *
1 [Dan Kelleher] *
1 [Marwood Chesterton] *
1 [Patrick Nother] *
1 [Antonio Narvà ez]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
17
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Richard Dudanski 33.22%The Passions 26.91%The 101'ers 21.26%Kevin Armstrong 11.96%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)