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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 35 [Peliaten] *
25 [Richard Winslow] *
49 [Gamelan Sari Oneng] *
36 [New York 1952 Gamelan] *
36 [Anak Agung Mandera] *
196 [Colin McPhee] *
400 [John Coast] *
121 [Sukarno] *
144 [Walter Spies 1895] *
25 [Sampih] *
4 [Gamelan New York 1952] *
324 [Gunung Sari] *
4 [Jose Carreras] *
16 [Mario Lanza] *
169 [ravi shankar] *
9 [lord haw haw] *
9 [anna wolkoff] *
9 [bob hope] *
1 [david attenborough] *
25 [Dancers of Bali]
)
= 4.85 x 10^29
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.4 [Peliaten] *
1 [Richard Winslow] *
1 [Gamelan Sari Oneng] *
1 [New York 1952 Gamelan] *
1 [Anak Agung Mandera] *
1 [Colin McPhee] *
1 [John Coast] *
1 [Sukarno] *
1 [Walter Spies 1895] *
1 [Sampih] *
1 [Gamelan New York 1952] *
1 [Gunung Sari] *
1 [Jose Carreras] *
1 [Mario Lanza] *
1 [ravi shankar] *
1 [lord haw haw] *
1 [anna wolkoff] *
1 [bob hope] *
1 [david attenborough] *
1 [Dancers of Bali]
)
= 1.4
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.06%
(4.85 × 1029 overall)
Dominant nodes (excluded from chart)John Coast 24.42%Gunung Sari 19.78%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)