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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 100 [Amenra] *
1 [Bjorn J. Lebon] *
4 [Colin H. Van Eeckhout] *
4 [Lennart Bossu] *
1 [Levy Seynaeve] *
4 [Caro Tanghe] *
1 [Kristof J. Mondy] *
1 [Maarten Kinet] *
1 [Tim De Gieter] *
1 [Vincent Tetaert] *
64 [Absent In Body] *
4 [Scott Kelly] *
256 [Igor Cavalera] *
1 [John-Paul Whetzel] *
1 [Marcus Grothe] *
1 [Patrick Salerno] *
1 [Ryan Burkett]
)
= 1.68B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Amenra] *
1 [Bjorn J. Lebon] *
1 [Colin H. Van Eeckhout] *
1 [Lennart Bossu] *
1 [Levy Seynaeve] *
1 [Caro Tanghe] *
1 [Kristof J. Mondy] *
1 [Maarten Kinet] *
1 [Tim De Gieter] *
1 [Vincent Tetaert] *
1 [Absent In Body] *
1 [Scott Kelly] *
1 [Igor Cavalera] *
1 [John-Paul Whetzel] *
1 [Marcus Grothe] *
1 [Patrick Salerno] *
1 [Ryan Burkett]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
17
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Igor Cavalera 56.89%Amenra 22.22%Absent In Body 14.22%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)