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 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 20 [David Brandon] *
9 [Blackstar] *
4 [Talib Kweli] *
64 [Madvillain] *
324 [Begin Again] *
36 [Hailee Steinfeld] *
16 [Adam Levine] *
16 [Catherine Keener] *
225 [Mark Ruffalo] *
36 [Keira Knightley] *
1 [Andrew Sellon] *
1 [Ed Renninger] *
1 [Eric Burton] *
1 [Ian Brodsky] *
1 [Jen Jacob] *
1 [Jennifer Li Jackson] *
4 [Karen Pittman] *
1 [Marco Assante] *
9 [Mary Catherine Garrison] *
1 [Paul Romero] *
25 [Rob Morrow]
)
= 4.01 x 10^18
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [David Brandon] *
1 [Blackstar] *
1 [Talib Kweli] *
1 [Madvillain] *
1 [Begin Again] *
1 [Hailee Steinfeld] *
1 [Adam Levine] *
1 [Catherine Keener] *
1 [Mark Ruffalo] *
1 [Keira Knightley] *
1 [Andrew Sellon] *
1 [Ed Renninger] *
1 [Eric Burton] *
1 [Ian Brodsky] *
1 [Jen Jacob] *
1 [Jennifer Li Jackson] *
1 [Karen Pittman] *
1 [Marco Assante] *
1 [Mary Catherine Garrison] *
1 [Paul Romero] *
1 [Rob Morrow]
)
= 1.25
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
21
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.50%
(4.01 × 1018 overall)
Dominant nodes (excluded from chart)Begin Again 40.50%Mark Ruffalo 28.13%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)