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, 10) = 10
$outbound = max(1, 10) = 10
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 10 = 100
Base_Influence (IV) = $inbound / $outbound = 10 / 10 = 1
// 3. Exponential Network Values (accumulating 24 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 100 *
( 1 [17 PYGMIES] *
36 [Annette Zilinskas] *
4 [Medicine (2)] *
169 [Paul Roessler] *
9 [Jimmy Michael Giorsetti] *
4 [Mary Sims] *
196 [Nervous Gender] *
1 [Bill Cline] *
1 [Bruce Moreland] *
1 [Edward Stapleton] *
49 [Marc Moreland] *
1 [Michael Ochoa] *
1 [Ned Leukhardt] *
9 [Phranc] *
1 [Sven Pfeiffer] *
1 [Chas T. Gray] *
1 [Gerardo Velázquez] *
1 [Beatrice Hefty] *
1 [Debt Of Nature] *
1 [Earth Dies Burning] *
1 [Fourwaycross] *
1 [Frankie Blowball] *
1 [MFZ] *
1 [SEP/8363]
)
= 7.57T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [17 PYGMIES] *
1 [Annette Zilinskas] *
1 [Medicine (2)] *
1 [Paul Roessler] *
1 [Jimmy Michael Giorsetti] *
1 [Mary Sims] *
1 [Nervous Gender] *
1 [Bill Cline] *
1 [Bruce Moreland] *
1 [Edward Stapleton] *
1 [Marc Moreland] *
1 [Michael Ochoa] *
1 [Ned Leukhardt] *
1 [Phranc] *
1 [Sven Pfeiffer] *
1 [Chas T. Gray] *
1 [Gerardo Velázquez] *
1 [Beatrice Hefty] *
1 [Debt Of Nature] *
1 [Earth Dies Burning] *
1 [Fourwaycross] *
1 [Frankie Blowball] *
1 [MFZ] *
1 [SEP/8363]
)
= 1
Outbound
10
Tags on post
Inbound
10
Posts tagging this
Connections
24
Total nodes
Base Node Strength
100
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Nervous Gender 33.11%Paul Roessler 28.55%Marc Moreland 8.28%Annette Zilinskas 6.08%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)