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 *
( 12 [Sophina Brown] *
121 [Will Patton] *
49 [Kathy Najimy] *
4 [Peter MacNicol] *
25 [Rob Morrow] *
16 [David Krumholtz] *
4 [Judd Hirsch] *
9 [Susan Beaubian] *
324 [Numb3rs] *
4 [Navi Rawat] *
4 [Lou Diamond Phillips] *
1 [Alimi Ballard] *
1 [Aya Sumika] *
1 [Diane Farr] *
1 [Dylan Bruno] *
1 [Leslie Silva] *
1 [Michelle Nolden] *
1 [Sabrina Lloyd]
)
= 21.24T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Sophina Brown] *
1 [Will Patton] *
1 [Kathy Najimy] *
1 [Peter MacNicol] *
1 [Rob Morrow] *
1 [David Krumholtz] *
1 [Judd Hirsch] *
1 [Susan Beaubian] *
1 [Numb3rs] *
1 [Navi Rawat] *
1 [Lou Diamond Phillips] *
1 [Alimi Ballard] *
1 [Aya Sumika] *
1 [Diane Farr] *
1 [Dylan Bruno] *
1 [Leslie Silva] *
1 [Michelle Nolden] *
1 [Sabrina Lloyd]
)
= 1.33
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)Numb3rs 55.86%Will Patton 20.86%Kathy Najimy 8.45%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)