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, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 2 = 2
Base_Influence (IV) = $inbound / $outbound = 1 / 2 = 0.5
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 2 *
( 2 [paul-raymond] *
324 [Chicken Shack] *
49 [Savoy Brown] *
16 [The Circles (2)] *
9 [The Universals (2)] *
289 [Waysted] *
529 [The Michael Schenker Group] *
36 [Mogg / Way] *
16 [Plastic Penny] *
1 [Tony Jackson Group] *
110 [Paul Raymond]
)
= 8.86 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 0.5 *
( 2 [paul-raymond] *
1 [Chicken Shack] *
1 [Savoy Brown] *
1 [The Circles (2)] *
1 [The Universals (2)] *
1 [Waysted] *
1 [The Michael Schenker Group] *
1 [Mogg / Way] *
1 [Plastic Penny] *
1 [Tony Jackson Group] *
0.9091 [Paul Raymond]
)
= 0.9091
Outbound
1
Tags on post
Inbound
2
Posts tagging this
Connections
11
Total nodes
Base Node Strength
2
Base Node Influence
0.5
Strength Share (vs Direct Neighbours)
0.14%
(8.86 × 1016 overall)
Dominant nodes (excluded from chart)The Michael Schenker Group 38.25%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)