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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 20 [Joris Jarsky] *
25 [Meagan Good] *
36 [Costas Mandylor] *
9 [Greg Bryk] *
9 [Julie Benz] *
324 [Saw V] *
16 [Al Sapienza] *
4 [Betsy Russell] *
1 [Dana Sorman] *
9 [Jeff Pustil] *
1 [Laura Gordon] *
4 [Mark Rolston] *
1 [Mike Butters] *
1 [Mike Realba] *
25 [Samantha Lemole] *
1 [Scott Patterson] *
1 [Sheila Shah] *
9 [Tobin Bell]
)
= 244.89T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Joris Jarsky] *
1 [Meagan Good] *
1 [Costas Mandylor] *
1 [Greg Bryk] *
1 [Julie Benz] *
1 [Saw V] *
1 [Al Sapienza] *
1 [Betsy Russell] *
1 [Dana Sorman] *
1 [Jeff Pustil] *
1 [Laura Gordon] *
1 [Mark Rolston] *
1 [Mike Butters] *
1 [Mike Realba] *
1 [Samantha Lemole] *
1 [Scott Patterson] *
1 [Sheila Shah] *
1 [Tobin Bell]
)
= 1.25
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Saw V 65.19%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)