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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 25 [Black Grape] *
36 [Shaun Ryder] *
1 [Carl McCarthy] *
1 [Danny Saber] *
4 [Paul Wagstaff] *
196 [Happy Mondays] *
9 [Paul Davis] *
4 [Stuart Fletcher] *
1 [Rowetta] *
16 [Paul Ryder] *
4 [Mark Day] *
1 [Mark "Bez" Berry] *
1 [Kav Sandhu] *
4 [Dan Broad] *
4 [Julie E Gordon] *
4 [Kavin (Kav) Sandhu] *
4 [Paul Davis (4)] *
4 [Rowetta Idah] *
100 [The Happy Mondays] *
16 [Baggy]
)
= 2.40 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Black Grape] *
1 [Shaun Ryder] *
1 [Carl McCarthy] *
1 [Danny Saber] *
1 [Paul Wagstaff] *
1 [Happy Mondays] *
1 [Paul Davis] *
1 [Stuart Fletcher] *
1 [Rowetta] *
1 [Paul Ryder] *
1 [Mark Day] *
1 [Mark "Bez" Berry] *
1 [Kav Sandhu] *
1 [Dan Broad] *
1 [Julie E Gordon] *
1 [Kavin (Kav) Sandhu] *
1 [Paul Davis (4)] *
1 [Rowetta Idah] *
1 [The Happy Mondays] *
1 [Baggy]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
20
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
2.03%
(2.40 × 1016 overall)
Dominant nodes (excluded from chart)Happy Mondays 44.14%The Happy Mondays 22.52%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)