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 *
( 64 [Jeremy Renner] *
1 [Louis C.K.] *
100 [Bradley Cooper] *
324 [American Hustle] *
4 [Adrian Martinez] *
16 [Alessandro Nivola] *
100 [Amy Adams] *
4 [Anthony Zerbe] *
169 [Christian Bale] *
49 [Colleen Camp] *
4 [Elisabeth Röhm] *
16 [Jack Huston] *
100 [Jennifer Lawrence] *
4 [Matthew Russell] *
81 [Michael Peña] *
9 [Paul Herman] *
25 [Shea Whigham] *
1 [Thomas Matthews] *
4 [La haine] *
16 [Hubert Koundé]
)
= 5.25 x 10^25
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Jeremy Renner] *
1 [Louis C.K.] *
1 [Bradley Cooper] *
1 [American Hustle] *
1 [Adrian Martinez] *
1 [Alessandro Nivola] *
1 [Amy Adams] *
1 [Anthony Zerbe] *
1 [Christian Bale] *
1 [Colleen Camp] *
1 [Elisabeth Röhm] *
1 [Jack Huston] *
1 [Jennifer Lawrence] *
1 [Matthew Russell] *
1 [Michael Peña] *
1 [Paul Herman] *
1 [Shea Whigham] *
1 [Thomas Matthews] *
1 [La haine] *
1 [Hubert Koundé]
)
= 1
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)
0.37%
(5.25 × 1025 overall)
Dominant nodes (excluded from chart)American Hustle 29.59%Christian Bale 15.43%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)