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 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 9 [Gary Cole] *
49 [Clark Gregg] *
49 [Nick Searcy] *
9 [Connie Nielsen] *
256 [One Hour Photo] *
9 [Erin Daniels] *
1 [Andy Rolfes] *
1 [Dave Engfer] *
1 [David Moreland] *
1 [Eriq La Salle] *
1 [Jim Rash] *
1 [Jimmy Shubert] *
1 [Lee Garlington] *
1 [Marion Calvert] *
1 [Michael Vartan] *
1 [Paul Kim Jr.]
)
= 448.08M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Gary Cole] *
1 [Clark Gregg] *
1 [Nick Searcy] *
1 [Connie Nielsen] *
1 [One Hour Photo] *
1 [Erin Daniels] *
1 [Andy Rolfes] *
1 [Dave Engfer] *
1 [David Moreland] *
1 [Eriq La Salle] *
1 [Jim Rash] *
1 [Jimmy Shubert] *
1 [Lee Garlington] *
1 [Marion Calvert] *
1 [Michael Vartan] *
1 [Paul Kim Jr.]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
16
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)One Hour Photo 65.31%Clark Gregg 12.50%Nick Searcy 12.50%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)