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 *
( 12 [Lolita Davidovich] *
4 [Melissa Benoist] *
16 [Hunter Burke] *
16 [Jack Huston] *
36 [Oona Chaplin] *
25 [Peter Jurasik] *
324 [The Longest Ride] *
1 [Britt Robertson] *
16 [Danny Vinson] *
1 [Elea Oberon] *
1 [Evan Taylor Burns] *
16 [Hayley Lovitt] *
1 [Jaret Sears] *
1 [Joel King] *
1 [Kate Forbes] *
25 [Scott Eastwood] *
1 [Tiago Riani] *
16 [Tracey Bonner]
)
= 366.92T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Lolita Davidovich] *
1 [Melissa Benoist] *
1 [Hunter Burke] *
1 [Jack Huston] *
1 [Oona Chaplin] *
1 [Peter Jurasik] *
1 [The Longest Ride] *
1 [Britt Robertson] *
1 [Danny Vinson] *
1 [Elea Oberon] *
1 [Evan Taylor Burns] *
1 [Hayley Lovitt] *
1 [Jaret Sears] *
1 [Joel King] *
1 [Kate Forbes] *
1 [Scott Eastwood] *
1 [Tiago Riani] *
1 [Tracey Bonner]
)
= 1.33
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)The Longest Ride 63.04%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)