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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 289 [The Afghan Whigs] *
16 [Christopher Thorn] *
16 [Dave Rosser] *
25 [Greg Dulli] *
1 [John Curley] *
4 [Jon Skibic] *
1 [Mark McGuire] *
1 [Michael Horrigan] *
25 [Patrick Keeler] *
36 [Paul Buchignani] *
9 [Cully Symington] *
25 [steve earle] *
1 [Rick G. Nelson] *
1 [Rick McCollum] *
1 [Mark McGuire (2)] *
1 [David Rosser] *
4 [Steve Earle (2)]
)
= 5.99T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [The Afghan Whigs] *
1 [Christopher Thorn] *
1 [Dave Rosser] *
1 [Greg Dulli] *
1 [John Curley] *
1 [Jon Skibic] *
1 [Mark McGuire] *
1 [Michael Horrigan] *
1 [Patrick Keeler] *
1 [Paul Buchignani] *
1 [Cully Symington] *
1 [steve earle] *
1 [Rick G. Nelson] *
1 [Rick McCollum] *
1 [Mark McGuire (2)] *
1 [David Rosser] *
1 [Steve Earle (2)]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The Afghan Whigs 63.24%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)