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 *
( 20 [Seth MacFarlane] *
25 [Donald Faison] *
16 [Seth Green] *
25 [Katee Sackhoff] *
25 [Breckin Meyer] *
324 [Robot Chicken] *
4 [Abraham Benrubi] *
4 [Fred Tatasciore] *
1 [Alex Borstein] *
1 [Chad Morgan] *
1 [Dan Milano] *
1 [Eden Espinosa] *
1 [Jamie Kaler] *
1 [Matthew Senreich] *
4 [Rachael Leigh Cook] *
1 [Tamara Garfield] *
1 [Tom Root] *
1 [Tom Sheppard]
)
= 103.68B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Seth MacFarlane] *
1 [Donald Faison] *
1 [Seth Green] *
1 [Katee Sackhoff] *
1 [Breckin Meyer] *
1 [Robot Chicken] *
1 [Abraham Benrubi] *
1 [Fred Tatasciore] *
1 [Alex Borstein] *
1 [Chad Morgan] *
1 [Dan Milano] *
1 [Eden Espinosa] *
1 [Jamie Kaler] *
1 [Matthew Senreich] *
1 [Rachael Leigh Cook] *
1 [Tamara Garfield] *
1 [Tom Root] *
1 [Tom Sheppard]
)
= 1.25
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)Robot Chicken 70.90%Donald Faison 5.47%Katee Sackhoff 5.47%Breckin Meyer 5.47%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)