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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 121 [Rachel Weisz] *
25 [Treva Etienne] *
36 [Omid Djalili] *
49 [John Hannah] *
9 [Aharon Ipalé] *
36 [Brendan Fraser] *
16 [Jonathan Hyde] *
16 [Corey Johnson] *
9 [Patricia Velasquez] *
400 [The Mummy] *
9 [Arnold Vosloo] *
4 [Oded Fehr] *
4 [Erick Avari] *
25 [Edita Brychta] *
4 [Tuc Watkins] *
1 [Bernard Fox] *
1 [Carl Chase] *
1 [Mohammed Afifi] *
1 [Stephen Dunham] *
4 [Kevin J. O'Connor]
)
= 9.18 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Rachel Weisz] *
1 [Treva Etienne] *
1 [Omid Djalili] *
1 [John Hannah] *
1 [Aharon Ipalé] *
1 [Brendan Fraser] *
1 [Jonathan Hyde] *
1 [Corey Johnson] *
1 [Patricia Velasquez] *
1 [The Mummy] *
1 [Arnold Vosloo] *
1 [Oded Fehr] *
1 [Erick Avari] *
1 [Edita Brychta] *
1 [Tuc Watkins] *
1 [Bernard Fox] *
1 [Carl Chase] *
1 [Mohammed Afifi] *
1 [Stephen Dunham] *
1 [Kevin J. O'Connor]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.13%
(9.18 × 1019 overall)
Dominant nodes (excluded from chart)The Mummy 51.81%Rachel Weisz 15.67%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)