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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 180 [The Return of Count Yorga] *
20 [Walter Brooke] *
25 [Michael Pataki] *
16 [Karen Ericson] *
4 [Life Sentence] *
4 [The Premiere] *
4 [Todd Charmont] *
4 [Urs Rechn] *
4 [Nate & Margaret] *
4 [Géza Röhrig] *
1 [István Pion] *
16 [Péter Takátsy] *
144 [Son of Saul] *
4 [Sándor Zsótér] *
4 [Balázs Farkas] *
4 [Gergö Farkas] *
1 [Levente Orbán] *
1 [Márton Ágh] *
1 [Mihály Kormos]
)
= 3.48 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.8 [The Return of Count Yorga] *
1.25 [Walter Brooke] *
1 [Michael Pataki] *
1 [Karen Ericson] *
1 [Life Sentence] *
1 [The Premiere] *
1 [Todd Charmont] *
1 [Urs Rechn] *
1 [Nate & Margaret] *
1 [Géza Röhrig] *
1 [István Pion] *
1 [Péter Takátsy] *
1 [Son of Saul] *
1 [Sándor Zsótér] *
1 [Balázs Farkas] *
1 [Gergö Farkas] *
1 [Levente Orbán] *
1 [Márton Ágh] *
1 [Mihály Kormos]
)
= 2.25
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
19
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.90%
(3.48 × 1015 overall)
Dominant nodes (excluded from chart)The Return of Count Yorga 40.45%Son of Saul 32.36%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)