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 *
( 36 [Tim Bagley] *
25 [Danny McCarthy] *
324 [Somebody Somewhere] *
9 [Mary Catherine Garrison] *
1 [Annie Munch] *
1 [Brian King] *
1 [Bridget Everett] *
1 [Heidi Johanningmeier] *
1 [Jane Brody] *
1 [Jeff Hiller] *
1 [Jennifer Mudge] *
1 [Jon Hudson Odom] *
1 [Josh Bywater] *
1 [Kailey Albus] *
1 [Mercedes White] *
1 [Barbara E. Robertson] *
4 [Mike Hagerty] *
1 [Murray Hill]
)
= 10.5M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Tim Bagley] *
1 [Danny McCarthy] *
1 [Somebody Somewhere] *
1 [Mary Catherine Garrison] *
1 [Annie Munch] *
1 [Brian King] *
1 [Bridget Everett] *
1 [Heidi Johanningmeier] *
1 [Jane Brody] *
1 [Jeff Hiller] *
1 [Jennifer Mudge] *
1 [Jon Hudson Odom] *
1 [Josh Bywater] *
1 [Kailey Albus] *
1 [Mercedes White] *
1 [Barbara E. Robertson] *
1 [Mike Hagerty] *
1 [Murray Hill]
)
= 1
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)Somebody Somewhere 78.64%Tim Bagley 8.74%Danny McCarthy 6.07%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)