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 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 225 [Material] *
25 [Toy Killers] *
9 [New York Gong] *
324 [bootsy collins] *
25 [Nile Rodgers] *
81 [Jeff Bova] *
361 [Billy Bang] *
121 [Foday Musa Suso] *
324 [Bernie Worrell] *
324 [Fred Frith] *
25 [Fred Maher] *
64 [Jonas Hellborg] *
9 [Robert Quine] *
81 [Henry Threadgill] *
49 [Aïyb Dieng] *
64 [Nicky Skopelitis] *
100 [Michael Hampton] *
361 [Wayne Horvitz] *
225 [Arto Lindsay] *
324 [Henry Kaiser] *
361 [Daevid Allen]
)
= 4.76 x 10^42
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Material] *
1 [Toy Killers] *
1 [New York Gong] *
1 [bootsy collins] *
1 [Nile Rodgers] *
1 [Jeff Bova] *
1 [Billy Bang] *
1 [Foday Musa Suso] *
1 [Bernie Worrell] *
1 [Fred Frith] *
1 [Fred Maher] *
1 [Jonas Hellborg] *
1 [Robert Quine] *
1 [Henry Threadgill] *
1 [Aïyb Dieng] *
1 [Nicky Skopelitis] *
1 [Michael Hampton] *
1 [Wayne Horvitz] *
1 [Arto Lindsay] *
1 [Henry Kaiser] *
1 [Daevid Allen]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
21
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.26%
(4.76 × 1042 overall)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)