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 *
( 16 [Adam LeFevre] *
25 [Zac Efron] *
9 [Joe Chrest] *
9 [Blythe Danner] *
324 [The Lucky One] *
1 [Ann McKenzie] *
1 [Cam Banfield] *
1 [Courtney James Clark] *
1 [Gavin Reyna] *
1 [Kendal Tuttle] *
1 [Matthew Michaud] *
1 [Riley Thomas Stewart] *
4 [Ritchie Montgomery] *
1 [Robert Hayes] *
1 [Russell Durham Comegys] *
9 [Sharon Conley] *
4 [Jay R. Ferguson] *
1 [Taylor Schilling]
)
= 1.51B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Adam LeFevre] *
1 [Zac Efron] *
1 [Joe Chrest] *
1 [Blythe Danner] *
1 [The Lucky One] *
1 [Ann McKenzie] *
1 [Cam Banfield] *
1 [Courtney James Clark] *
1 [Gavin Reyna] *
1 [Kendal Tuttle] *
1 [Matthew Michaud] *
1 [Riley Thomas Stewart] *
1 [Ritchie Montgomery] *
1 [Robert Hayes] *
1 [Russell Durham Comegys] *
1 [Sharon Conley] *
1 [Jay R. Ferguson] *
1 [Taylor Schilling]
)
= 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)The Lucky One 78.83%Zac Efron 6.08%Adam LeFevre 3.89%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)