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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 256 [Razorlight] *
25 [Andy Burrows] *
25 [Johnny Borrell] *
1 [Reni Lane] *
1 [Mat Hector] *
4 [João Mello] *
1 [Harry Deacon] *
1 [Gus Robertson] *
1 [Freddie Stitz] *
36 [David Sullivan Kaplan] *
4 [Carl Dalemo] *
1 [Ben Ellis] *
1 [Dave Ellis (3)] *
1 [Fred Stitz] *
1 [Björn Ågren] *
1 [Razorlight - Orange Warsaw Festival 2009] *
1 [Serafin (2)]
)
= 368.64M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Razorlight] *
1 [Andy Burrows] *
1 [Johnny Borrell] *
1 [Reni Lane] *
1 [Mat Hector] *
1 [João Mello] *
1 [Harry Deacon] *
1 [Gus Robertson] *
1 [Freddie Stitz] *
1 [David Sullivan Kaplan] *
1 [Carl Dalemo] *
1 [Ben Ellis] *
1 [Dave Ellis (3)] *
1 [Fred Stitz] *
1 [Björn Ågren] *
1 [Razorlight - Orange Warsaw Festival 2009] *
1 [Serafin (2)]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
17
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Razorlight 70.14%David Sullivan Kaplan 9.86%Andy Burrows 6.85%Johnny Borrell 6.85%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)