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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 4 [Brandon Smith] *
4 [Ken Lerner] *
25 [Tom Noonan] *
361 [RoboCop 2] *
49 [Thomas Rosales Jr.] *
25 [Nancy Allen] *
36 [Roger Aaron Brown] *
9 [Felton Perry] *
9 [Lisa Sturz] *
16 [Belinda Bauer] *
1 [Gabriel Damon] *
9 [Jeff McCarthy] *
1 [John Doolittle] *
4 [Robert DoQui] *
9 [Stephen Lee] *
4 [Tzi Ma] *
1 [Willard E. Pugh] *
9 [Dan O'Herlihy] *
1 [Galyn Görg]
)
= 9.63 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Brandon Smith] *
1 [Ken Lerner] *
1 [Tom Noonan] *
1 [RoboCop 2] *
1 [Thomas Rosales Jr.] *
1 [Nancy Allen] *
1 [Roger Aaron Brown] *
1 [Felton Perry] *
1 [Lisa Sturz] *
1 [Belinda Bauer] *
1 [Gabriel Damon] *
1 [Jeff McCarthy] *
1 [John Doolittle] *
1 [Robert DoQui] *
1 [Stephen Lee] *
1 [Tzi Ma] *
1 [Willard E. Pugh] *
1 [Dan O'Herlihy] *
1 [Galyn Görg]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.17%
(9.63 × 1016 overall)
Dominant nodes (excluded from chart)RoboCop 2 62.46%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)