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 *
( 8 [Danny Boyle] *
12 [Bailee Michelle Johnson] *
121 [James Franco] *
16 [Kate Mara] *
361 [127 Hours] *
25 [Amber Tamblyn] *
36 [Clémence Poésy] *
1 [Fenton Quinn] *
1 [John Lawrence] *
9 [Kate Burton] *
1 [Koleman Stinger] *
36 [Lizzy Caplan] *
1 [Norman Lehnert] *
1 [Parker Hadley] *
1 [Peter Joshua Hull] *
9 [Pieter Jan Brugge] *
1 [Rebecca C. Olson] *
16 [Sean Bott] *
25 [Treat Williams]
)
= 7.04 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 2 [Danny Boyle] *
1.33 [Bailee Michelle Johnson] *
1 [James Franco] *
1 [Kate Mara] *
1 [127 Hours] *
1 [Amber Tamblyn] *
1 [Clémence Poésy] *
1 [Fenton Quinn] *
1 [John Lawrence] *
1 [Kate Burton] *
1 [Koleman Stinger] *
1 [Lizzy Caplan] *
1 [Norman Lehnert] *
1 [Parker Hadley] *
1 [Peter Joshua Hull] *
1 [Pieter Jan Brugge] *
1 [Rebecca C. Olson] *
1 [Sean Bott] *
1 [Treat Williams]
)
= 2.67
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)
0.15%
(7.04 × 1016 overall)
Dominant nodes (excluded from chart)127 Hours 52.93%James Franco 17.74%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)