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, 8) = 8
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 8 * 8 = 64
Base_Influence (IV) = $inbound / $outbound = 8 / 8 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 64 *
( 16 [Mackie Jayson] *
49 [Chuck Mosley] *
9 [Darryl Jenifer] *
4 [Earl Hudson] *
1 [Gary Miller (4)] *
1 [Israel Joseph I] *
1 [Paul D. Hudson] *
1 [Sid McCray] *
625 [Madball] *
25 [Fun Lovin' Criminals] *
64 [Hazen Street] *
169 [Faith No More] *
169 [Primitive Race] *
4 [The Animated] *
1 [Cement] *
1 [Indoria] *
1 [VUA] *
1 [Zion Train (2)] *
1 [Brooklyn (33)] *
1 [White Mandingos]
)
= 2.06 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Mackie Jayson] *
1 [Chuck Mosley] *
1 [Darryl Jenifer] *
1 [Earl Hudson] *
1 [Gary Miller (4)] *
1 [Israel Joseph I] *
1 [Paul D. Hudson] *
1 [Sid McCray] *
1 [Madball] *
1 [Fun Lovin' Criminals] *
1 [Hazen Street] *
1 [Faith No More] *
1 [Primitive Race] *
1 [The Animated] *
1 [Cement] *
1 [Indoria] *
1 [VUA] *
1 [Zion Train (2)] *
1 [Brooklyn (33)] *
1 [White Mandingos]
)
= 1
Outbound
8
Tags on post
Inbound
8
Posts tagging this
Connections
20
Total nodes
Base Node Strength
64
Base Node Influence
1
Strength Share (vs Direct Neighbours)
5.30%
(2.06 × 1017 overall)
Dominant nodes (excluded from chart)Madball 51.74%Faith No More 13.99%Primitive Race 13.99%Hazen Street 5.30%Chuck Mosley 4.06%Fun Lovin' Criminals 2.07%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
