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, 4) = 4
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 4 = 16
Base_Influence (IV) = $inbound / $outbound = 4 / 4 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 144 [Swans] *
36 [the Gunga Din] *
4 [Human Impact (2)] *
1 [Flux Information Sciences] *
441 [Jim Sclavunos] *
4 [Bill Bronson] *
1 [Chris Pravdica] *
1 [Maria Zastrow] *
1 [Siobhan Duffy] *
81 [Phil Puleo] *
16 [Dan Braun] *
100 [Michael Gira] *
1 [Christoph Hahn] *
121 [Norman Westberg] *
1 [Paul Wallfisch] *
289 [Thor Harris] *
64 [Yoyo Röhm] *
1 [Paul Wall] *
256 [Bill Rieflin] *
81 [Ted Parsons]
)
= 3.52 x 10^24
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Swans] *
1 [the Gunga Din] *
1 [Human Impact (2)] *
1 [Flux Information Sciences] *
1 [Jim Sclavunos] *
1 [Bill Bronson] *
1 [Chris Pravdica] *
1 [Maria Zastrow] *
1 [Siobhan Duffy] *
1 [Phil Puleo] *
1 [Dan Braun] *
1 [Michael Gira] *
1 [Christoph Hahn] *
1 [Norman Westberg] *
1 [Paul Wallfisch] *
1 [Thor Harris] *
1 [Yoyo Röhm] *
1 [Paul Wall] *
1 [Bill Rieflin] *
1 [Ted Parsons]
)
= 1
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
20
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.96%
(3.52 × 1024 overall)
Dominant nodes (excluded from chart)Jim Sclavunos 26.57%Thor Harris 17.41%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
