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 *
( 306 [Last Week Tonight with John Oliver] *
1 [Rachel Dratch] *
144 [Nick Offerman] *
16 [John Oliver] *
9 [Gilbert Gottfried] *
4 [David Kaye] *
1 [Alberto Bonilla] *
1 [Alex Webb] *
1 [James Wojtal] *
1 [Kyle Ploof] *
25 [Michael Torpey] *
1 [Moujan Zolfaghari] *
1 [Noel MacNeal] *
1 [Paul McGinnis] *
4 [H. Jon Benjamin] *
1 [Ryan Barger] *
1 [Susan Evans]
)
= 2.54B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.06 [Last Week Tonight with John Oliver] *
1 [Rachel Dratch] *
1 [Nick Offerman] *
1 [John Oliver] *
1 [Gilbert Gottfried] *
1 [David Kaye] *
1 [Alberto Bonilla] *
1 [Alex Webb] *
1 [James Wojtal] *
1 [Kyle Ploof] *
1 [Michael Torpey] *
1 [Moujan Zolfaghari] *
1 [Noel MacNeal] *
1 [Paul McGinnis] *
1 [H. Jon Benjamin] *
1 [Ryan Barger] *
1 [Susan Evans]
)
= 1.06
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)Last Week Tonight with John Oliver 58.96%Nick Offerman 27.75%Michael Torpey 4.82%John Oliver 3.08%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)