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 *
( 16 [earl Jordan] *
9 [Henner Hoier] *
225 [John Lawton] *
324 [Les Humphries Singers] *
1 [Barbara Johnson] *
1 [Barry St. John] *
1 [Christina Werner] *
1 [Claudia Schwarz] *
1 [Dave Brian] *
1 [Don Adams] *
1 [Elvira Herbert] *
1 [Emily Woods] *
4 [En Davy] *
121 [Inga Rumpf] *
16 [Jimmy Bilsbury] *
1 [John Selley] *
1 [Judy Archer] *
1 [Les Humphries]
)
= 81.29B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [earl Jordan] *
1 [Henner Hoier] *
1 [John Lawton] *
1 [Les Humphries Singers] *
1 [Barbara Johnson] *
1 [Barry St. John] *
1 [Christina Werner] *
1 [Claudia Schwarz] *
1 [Dave Brian] *
1 [Don Adams] *
1 [Elvira Herbert] *
1 [Emily Woods] *
1 [En Davy] *
1 [Inga Rumpf] *
1 [Jimmy Bilsbury] *
1 [John Selley] *
1 [Judy Archer] *
1 [Les Humphries]
)
= 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)Les Humphries Singers 44.57%John Lawton 30.95%Inga Rumpf 16.64%earl Jordan 2.20%Jimmy Bilsbury 2.20%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)