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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 2 [Earl Falconer] *
25 [Ali Campbell] *
16 [Maxi Priest] *
1 [Brian Travers] *
1 [Duncan Campbell] *
1 [Jimmy Brown] *
1 [Matt Doyle] *
1 [Norman Hassan] *
9 [Robin Campbell] *
1 [Yomi Babayemi] *
1 [Duncan Campbell (2)] *
1 [Jim Brown] *
1 [Laurence Parry] *
1 [Martin Meredith] *
1 [Max Elliott] *
4 [Michael Virtue] *
1 [Terence Wilson (2)] *
1 [Tony Mullings] *
4 [earl-falconer] *
380 [UB40]
)
= 43.78M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 2 [Earl Falconer] *
1 [Ali Campbell] *
1 [Maxi Priest] *
1 [Brian Travers] *
1 [Duncan Campbell] *
1 [Jimmy Brown] *
1 [Matt Doyle] *
1 [Norman Hassan] *
1 [Robin Campbell] *
1 [Yomi Babayemi] *
1 [Duncan Campbell (2)] *
1 [Jim Brown] *
1 [Laurence Parry] *
1 [Martin Meredith] *
1 [Max Elliott] *
1 [Michael Virtue] *
1 [Terence Wilson (2)] *
1 [Tony Mullings] *
1 [earl-falconer] *
0.95 [UB40]
)
= 1.9
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)UB40 83.70%Ali Campbell 5.51%Maxi Priest 3.52%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)