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, 4) = 4
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 4 = 16
Base_Influence (IV) = $inbound / $outbound = 4 / 4 = 1
// 3. Exponential Network Values (accumulating 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 16 [Alison Rosen] *
4 [Road Hard] *
9 [Anthony Padilla] *
9 [Ian Hecox] *
289 [Smosh: The Movie] *
1 [Brittany Ross] *
1 [Damion Poitier] *
16 [Dominic Sandoval] *
9 [Grace Helbig] *
16 [Harley Morenstein] *
1 [Jillian Nelson] *
4 [Juliocesar Chavez] *
1 [Kevin Will] *
1 [Kimmy Gatewood] *
1 [Kimoon Kim] *
16 [Mark Fischbach] *
9 [Michael Ian Black] *
16 [Peter Breitmayer] *
1 [Kristen O'Meara] *
1 [Maximum Ride] *
1 [Toby Sucks at Podcasts]
)
= 508.99T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Alison Rosen] *
1 [Road Hard] *
1 [Anthony Padilla] *
1 [Ian Hecox] *
1 [Smosh: The Movie] *
1 [Brittany Ross] *
1 [Damion Poitier] *
1 [Dominic Sandoval] *
1 [Grace Helbig] *
1 [Harley Morenstein] *
1 [Jillian Nelson] *
1 [Juliocesar Chavez] *
1 [Kevin Will] *
1 [Kimmy Gatewood] *
1 [Kimoon Kim] *
1 [Mark Fischbach] *
1 [Michael Ian Black] *
1 [Peter Breitmayer] *
1 [Kristen O'Meara] *
1 [Maximum Ride] *
1 [Toby Sucks at Podcasts]
)
= 1
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
21
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Smosh: The Movie 65.98%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)