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 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 49 [Jeff Buckley] *
144 [The Jazz Passengers] *
4 [Ben Perowsky] *
4 [Bill Ware] *
1 [Brad Jones] *
289 [Curtis Fowlkes] *
1 [Jim Nolet] *
324 [Marc Ribot] *
4 [Rob Thomas (2)] *
25 [Roy Nathanson] *
1 [Sam Bardfeld] *
9 [Tony Garnier]
)
= 9.51T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Jeff Buckley] *
1 [The Jazz Passengers] *
1 [Ben Perowsky] *
1 [Bill Ware] *
1 [Brad Jones] *
1 [Curtis Fowlkes] *
1 [Jim Nolet] *
1 [Marc Ribot] *
1 [Rob Thomas (2)] *
1 [Roy Nathanson] *
1 [Sam Bardfeld] *
1 [Tony Garnier]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
12
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Marc Ribot 37.85%Curtis Fowlkes 33.76%The Jazz Passengers 16.82%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)