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 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 105 [the Bronx] *
72 [Kindley Air Force Base] *
20 [KRS-One] *
42 [The 45 King] *
72 [Peabody Institute] *
72 [3arena] *
4 [Michael McKinley Sillerman] *
64 [Harry Crosbie] *
9 [Sillerman Morrow group] *
49 [Bermuda] *
9 [SFX Entertainment] *
1 [West Bronx] *
1 [1940 Census Enumeration District Descriptions - New York - Bronx County] *
1 [Transport in the Bronx, New York City] *
35 [live nation] *
2 [Laura Nyro']
)
= 3.75 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 2.14 [the Bronx] *
2 [Kindley Air Force Base] *
1.25 [KRS-One] *
1.17 [The 45 King] *
1.13 [Peabody Institute] *
1.13 [3arena] *
1 [Michael McKinley Sillerman] *
1 [Harry Crosbie] *
1 [Sillerman Morrow group] *
1 [Bermuda] *
1 [SFX Entertainment] *
1 [West Bronx] *
1 [1940 Census Enumeration District Descriptions - New York - Bronx County] *
1 [Transport in the Bronx, New York City] *
0.7143 [live nation] *
0.5 [Laura Nyro']
)
= 2.83
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
16
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
2.79%
(3.75 × 1019 overall)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)