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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 289 [One for the Money] *
4 [Ana Reeder] *
16 [Daniel Sunjata] *
100 [John Leguizamo] *
4 [Debra Monk] *
4 [Leonardo Nam] *
16 [Patrick Fischler] *
9 [Adam Paul] *
9 [Annie Parisse] *
1 [Danny Mastrogiorgio] *
25 [Katherine Heigl] *
1 [Louis Mustillo] *
16 [Nate Mooney] *
1 [G.K. Umeh] *
1 [Ryan Michelle Bathe] *
1 [Sherri Shepherd] *
1 [Jason O'Mara]
)
= 15.34T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [One for the Money] *
1 [Ana Reeder] *
1 [Daniel Sunjata] *
1 [John Leguizamo] *
1 [Debra Monk] *
1 [Leonardo Nam] *
1 [Patrick Fischler] *
1 [Adam Paul] *
1 [Annie Parisse] *
1 [Danny Mastrogiorgio] *
1 [Katherine Heigl] *
1 [Louis Mustillo] *
1 [Nate Mooney] *
1 [G.K. Umeh] *
1 [Ryan Michelle Bathe] *
1 [Sherri Shepherd] *
1 [Jason O'Mara]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)One for the Money 57.92%John Leguizamo 20.04%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)