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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 12 [Aitana Rinab Perez] *
380 [Never Have I Ever] *
4 [Peter J. Smith] *
9 [Tohoru Masamune] *
1 [Sendhil Ramamurthy] *
4 [Adam Shapiro] *
1 [Benjamin Norris] *
16 [Christina Kartchner] *
4 [Cocoa Brown] *
16 [Darren Barnet] *
1 [Jack Seavor McDonald] *
1 [Jaren Lewison] *
4 [John McEnroe] *
16 [Lee Rodriguez] *
1 [Maitreyi Ramakrishnan] *
9 [Megan Suri] *
4 [Poorna Jagannathan] *
16 [Ramona Young] *
1 [Richa Moorjani]
)
= 24.79T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Aitana Rinab Perez] *
1.05 [Never Have I Ever] *
1 [Peter J. Smith] *
1 [Tohoru Masamune] *
1 [Sendhil Ramamurthy] *
1 [Adam Shapiro] *
1 [Benjamin Norris] *
1 [Christina Kartchner] *
1 [Cocoa Brown] *
1 [Darren Barnet] *
1 [Jack Seavor McDonald] *
1 [Jaren Lewison] *
1 [John McEnroe] *
1 [Lee Rodriguez] *
1 [Maitreyi Ramakrishnan] *
1 [Megan Suri] *
1 [Poorna Jagannathan] *
1 [Ramona Young] *
1 [Richa Moorjani]
)
= 1.4
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Never Have I Ever 75.85%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)