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, 5) = 5
$outbound = max(1, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 5 = 25
Base_Influence (IV) = $inbound / $outbound = 5 / 5 = 1
// 3. Exponential Network Values (accumulating 23 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 25 *
( 12 [Stephen Colbert] *
16 [Jon Stewart] *
9 [Jason Jones] *
9 [Aasif Mandvi] *
16 [John Oliver] *
25 [Steve Carell] *
361 [The Daily Show] *
9 [Samantha Bee] *
16 [Olivia Munn] *
1 [Craig Kilborn] *
9 [Desi Lydic] *
16 [Ed Helms] *
9 [Lewis Black] *
1 [Michael Kosta] *
1 [Mo Rocca] *
25 [Rob Corddry] *
25 [Ronny Chieng] *
9 [Roy Wood Jr] *
1 [Trevor Noah] *
1 [Bathroom Party] *
1 [Bone Dry] *
1 [Klepper] *
1 [Poop Brunch]
)
= 5.89 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Stephen Colbert] *
1 [Jon Stewart] *
1 [Jason Jones] *
1 [Aasif Mandvi] *
1 [John Oliver] *
1 [Steve Carell] *
1 [The Daily Show] *
1 [Samantha Bee] *
1 [Olivia Munn] *
1 [Craig Kilborn] *
1 [Desi Lydic] *
1 [Ed Helms] *
1 [Lewis Black] *
1 [Michael Kosta] *
1 [Mo Rocca] *
1 [Rob Corddry] *
1 [Ronny Chieng] *
1 [Roy Wood Jr] *
1 [Trevor Noah] *
1 [Bathroom Party] *
1 [Bone Dry] *
1 [Klepper] *
1 [Poop Brunch]
)
= 1.33
Outbound
5
Tags on post
Inbound
5
Posts tagging this
Connections
23
Total nodes
Base Node Strength
25
Base Node Influence
1
Strength Share (vs Direct Neighbours)
4.17%
(5.89 × 1019 overall)
Dominant nodes (excluded from chart)The Daily Show 60.27%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)