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, 10) = 10
$outbound = max(1, 10) = 10
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 10 = 100
Base_Influence (IV) = $inbound / $outbound = 10 / 10 = 1
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 100 *
( 1 [Jeff Lane] *
1 [Jesse Ward] *
1 [Joseph Arthur Wong] *
1 [Larry Payton] *
1 [Michael Grudge] *
1 [Morris Price] *
9 [Randy Muller] *
1 [Sandy Billups] *
1 [Wade Williamston] *
1 [Wayne Parris] *
196 [B.T. Express] *
121 [Skyy]
)
= 21.34M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Jeff Lane] *
1 [Jesse Ward] *
1 [Joseph Arthur Wong] *
1 [Larry Payton] *
1 [Michael Grudge] *
1 [Morris Price] *
1 [Randy Muller] *
1 [Sandy Billups] *
1 [Wade Williamston] *
1 [Wayne Parris] *
1 [B.T. Express] *
1 [Skyy]
)
= 1
Outbound
10
Tags on post
Inbound
10
Posts tagging this
Connections
12
Total nodes
Base Node Strength
100
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)B.T. Express 45.06%Skyy 27.82%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)