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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 12 [Anna Katarina] *
20 [Andrew Bryniarski] *
9 [Michael Gough] *
4 [Gregory Scott Cummins] *
49 [Danny DeVito] *
289 [Batman Returns] *
64 [Michael Keaton] *
36 [Jan Hooks] *
81 [Pat Hingle] *
81 [Christopher Walken] *
16 [Cristi Conaway] *
1 [Erika Andersch] *
36 [Michelle Pfeiffer] *
9 [Rick Zumwalt] *
25 [Steve Witting] *
4 [Travis McKenna] *
16 [Vincent Schiavelli]
)
= 1.53 x 10^22
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Anna Katarina] *
1.25 [Andrew Bryniarski] *
1 [Michael Gough] *
1 [Gregory Scott Cummins] *
1 [Danny DeVito] *
1 [Batman Returns] *
1 [Michael Keaton] *
1 [Jan Hooks] *
1 [Pat Hingle] *
1 [Christopher Walken] *
1 [Cristi Conaway] *
1 [Erika Andersch] *
1 [Michelle Pfeiffer] *
1 [Rick Zumwalt] *
1 [Steve Witting] *
1 [Travis McKenna] *
1 [Vincent Schiavelli]
)
= 1.67
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.13%
(1.53 × 1022 overall)
Dominant nodes (excluded from chart)Batman Returns 38.38%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)