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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 6 [Reece Ritchie] *
20 [Stefania LaVie Owen] *
324 [The Lovely Bones] *
4 [Last Holiday] *
4 [AJ Michalka] *
16 [Susan Sarandon] *
100 [Stanley Tucci] *
1 [Nikki SooHoo] *
4 [Saoirse Ronan] *
121 [Rachel Weisz] *
16 [Tom McCarthy] *
16 [Mark Wahlberg] *
4 [Andrew James Allen] *
16 [Carolyn Dando] *
1 [Christian Ashdale] *
1 [Evelyn Lennon] *
25 [Jake Abel] *
16 [Rose McIver] *
16 [Stink Fisher] *
25 [Emeril Lagasse]
)
= 5.05 x 10^21
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [Reece Ritchie] *
1.25 [Stefania LaVie Owen] *
1 [The Lovely Bones] *
1 [Last Holiday] *
1 [AJ Michalka] *
1 [Susan Sarandon] *
1 [Stanley Tucci] *
1 [Nikki SooHoo] *
1 [Saoirse Ronan] *
1 [Rachel Weisz] *
1 [Tom McCarthy] *
1 [Mark Wahlberg] *
1 [Andrew James Allen] *
1 [Carolyn Dando] *
1 [Christian Ashdale] *
1 [Evelyn Lennon] *
1 [Jake Abel] *
1 [Rose McIver] *
1 [Stink Fisher] *
1 [Emeril Lagasse]
)
= 1.88
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
20
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.54%
(5.05 × 1021 overall)
Dominant nodes (excluded from chart)The Lovely Bones 43.78%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)