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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 30 [Bryan Greenberg] *
25 [Jamie Hector] *
9 [Natasha Roth] *
361 [A Year and Change] *
25 [Jamie Chung] *
25 [Alison Whitney] *
1 [Cassidy Thornton] *
16 [Claire van der Boom] *
1 [Cruz Kim] *
1 [Dan Thiel] *
1 [Drew Shugart] *
1 [Gene Ferrick] *
1 [Kate Sanford] *
1 [Laurie Folkes] *
1 [Maria Murillo] *
1 [Marshall Allman] *
1 [Woody Schultz] *
1 [Natasha Rothwell] *
1 [T.R. Knight]
)
= 24.37B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.2 [Bryan Greenberg] *
1 [Jamie Hector] *
1 [Natasha Roth] *
1 [A Year and Change] *
1 [Jamie Chung] *
1 [Alison Whitney] *
1 [Cassidy Thornton] *
1 [Claire van der Boom] *
1 [Cruz Kim] *
1 [Dan Thiel] *
1 [Drew Shugart] *
1 [Gene Ferrick] *
1 [Kate Sanford] *
1 [Laurie Folkes] *
1 [Maria Murillo] *
1 [Marshall Allman] *
1 [Woody Schultz] *
1 [Natasha Rothwell] *
1 [T.R. Knight]
)
= 1.2
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)A Year and Change 71.63%Bryan Greenberg 5.95%Jamie Hector 4.96%Jamie Chung 4.96%Alison Whitney 4.96%Claire van der Boom 3.17%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)