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, 3) = 3
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 2 = 6
Base_Influence (IV) = $inbound / $outbound = 3 / 2 = 1.5
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 6 *
( 1 [Nolan North] *
16 [Sarah Chalke] *
289 [Rick and Morty] *
36 [Brandon Johnson] *
1 [Cassie Steele] *
25 [Chris Parnell] *
1 [Dan Harmon] *
1 [Echo Kellum] *
1 [Harry Belden] *
1 [Ian Cardoni] *
1 [Justin Roiland] *
4 [Kari Wahlgren] *
4 [Maurice LaMarche] *
1 [Nick Reczynski] *
1 [Ryan Ridley] *
1 [Spencer Grammer] *
1 [Brian Posehn] *
1 [Laser Fart] *
6 [Tom Kenny] *
2 [The Sarah Silverman Program.]
)
= 4.79B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.5 *
( 1 [Nolan North] *
1 [Sarah Chalke] *
1 [Rick and Morty] *
1 [Brandon Johnson] *
1 [Cassie Steele] *
1 [Chris Parnell] *
1 [Dan Harmon] *
1 [Echo Kellum] *
1 [Harry Belden] *
1 [Ian Cardoni] *
1 [Justin Roiland] *
1 [Kari Wahlgren] *
1 [Maurice LaMarche] *
1 [Nick Reczynski] *
1 [Ryan Ridley] *
1 [Spencer Grammer] *
1 [Brian Posehn] *
1 [Laser Fart] *
0.6667 [Tom Kenny] *
0.5 [The Sarah Silverman Program.]
)
= 0.5
Outbound
3
Tags on post
Inbound
2
Posts tagging this
Connections
20
Total nodes
Base Node Strength
6
Base Node Influence
1.5
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Rick and Morty 72.25%Brandon Johnson 9.00%Chris Parnell 6.25%Sarah Chalke 4.00%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)