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 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 4 [Artists United For Haiti] *
4 [Bebe & Cece Winans] *
81 [Artists & Friends For Hurricane Relief] *
1 [Al Jarreau] *
16 [Patti LaBelle] *
4 [Brian McKnight] *
49 [George Clinton] *
4 [Kim Sledge] *
4 [Joni Sledge] *
9 [Chris Brown] *
169 [Branford Marsalis] *
4 [Cece Winans]
)
= 3.56T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Artists United For Haiti] *
1 [Bebe & Cece Winans] *
1 [Artists & Friends For Hurricane Relief] *
1 [Al Jarreau] *
1 [Patti LaBelle] *
1 [Brian McKnight] *
1 [George Clinton] *
1 [Kim Sledge] *
1 [Joni Sledge] *
1 [Chris Brown] *
1 [Branford Marsalis] *
1 [Cece Winans]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
12
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Branford Marsalis 47.21%Artists & Friends For Hurricane Relief 22.63%George Clinton 13.69%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
