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 *
( 20 [Michael Strahan] *
323 [Live with Kelly and Mark] *
9 [Anderson Cooper] *
1 [Ryan Seacrest] *
4 [Regis Philbin] *
4 [Carrie Ann Inaba] *
1 [Art Moore] *
1 [Carson Kressley] *
25 [Kathie Lee Gifford] *
25 [Kelly Ripa] *
1 [Lawrence Zarian] *
25 [Maria Menounos] *
25 [Mark Consuelos] *
9 [Michael Gelman] *
1 [Monica Mangin] *
1 [Sally Winters] *
16 [Jerry O'Connell]
)
= 52.33T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Michael Strahan] *
1.12 [Live with Kelly and Mark] *
1 [Anderson Cooper] *
1 [Ryan Seacrest] *
1 [Regis Philbin] *
1 [Carrie Ann Inaba] *
1 [Art Moore] *
1 [Carson Kressley] *
1 [Kathie Lee Gifford] *
1 [Kelly Ripa] *
1 [Lawrence Zarian] *
1 [Maria Menounos] *
1 [Mark Consuelos] *
1 [Michael Gelman] *
1 [Monica Mangin] *
1 [Sally Winters] *
1 [Jerry O'Connell]
)
= 1.4
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)Live with Kelly and Mark 65.65%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)