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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 3 [Jason Wade] *
36 [Matt Nathanson] *
4 [Jude Cole] *
4 [Ryan Star] *
1 [Steve Stout] *
1 [Sergio Andrade] *
9 [Sean Woolstenhulme] *
1 [Rick Woolstenhulme Jr.] *
1 [Jon "Diff" Palmer] *
1 [Bryce Soderberg] *
1 [Ben Carey] *
1 [Aaron Lord] *
1 [Jon Palmer (4)] *
1 [Rick Woolstenhulme] *
1 [Steve Stout (4)] *
240 [Lifehouse] *
2 [Blyss (3)] *
2 [Ãzwald]
)
= 134.37M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 3 [Jason Wade] *
1 [Matt Nathanson] *
1 [Jude Cole] *
1 [Ryan Star] *
1 [Steve Stout] *
1 [Sergio Andrade] *
1 [Sean Woolstenhulme] *
1 [Rick Woolstenhulme Jr.] *
1 [Jon "Diff" Palmer] *
1 [Bryce Soderberg] *
1 [Ben Carey] *
1 [Aaron Lord] *
1 [Jon Palmer (4)] *
1 [Rick Woolstenhulme] *
1 [Steve Stout (4)] *
0.9375 [Lifehouse] *
0.5 [Blyss (3)] *
0.5 [Ãzwald]
)
= 0.7031
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
18
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Lifehouse 75.24%Matt Nathanson 11.29%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)