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 33 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 1.1K [Cantus Cölln] *
169 [Konrad Junghänel] *
1 [Annette Hagedorn] *
1 [Annette Labusch] *
4 [Antje Sabinski] *
9 [Barbara Kernig] *
1 [Beate Knobloch] *
1 [Bettina Ihrig] *
1 [Britta Heinrichs] *
9 [Andrea Keller] *
16 [Andreas Scholl] *
1 [Christian Goosses] *
1 [Christina Seewald] *
1 [Christine Angot (2)] *
4 [Christine Moran] *
1 [Christine Plubeau] *
49 [Christoph Anselm Noll] *
1 [Claudia Steeb] *
1 [Cosima Taubert] *
4 [Daniel Deuter] *
25 [David Cordier] *
4 [Andreas Lackner] *
4 [Bernhard Junghänel] *
16 [Bruce Dickey] *
4 [Carsten Lohff] *
196 [Adrian Rovatkay] *
4 [Aino Hildebrandt] *
1 [Albert Brüggen] *
1 [Alexander Schneider (2)] *
9 [Anette Sichelschmidt] *
1 [Ann-Kathrin Brüggemann] *
4 [Anne Katharina Schreiber] *
36 [Bernhard Landauer]
)
= 1.95 x 10^22
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Cantus Cölln] *
1 [Konrad Junghänel] *
1 [Annette Hagedorn] *
1 [Annette Labusch] *
1 [Antje Sabinski] *
1 [Barbara Kernig] *
1 [Beate Knobloch] *
1 [Bettina Ihrig] *
1 [Britta Heinrichs] *
1 [Andrea Keller] *
1 [Andreas Scholl] *
1 [Christian Goosses] *
1 [Christina Seewald] *
1 [Christine Angot (2)] *
1 [Christine Moran] *
1 [Christine Plubeau] *
1 [Christoph Anselm Noll] *
1 [Claudia Steeb] *
1 [Cosima Taubert] *
1 [Daniel Deuter] *
1 [David Cordier] *
1 [Andreas Lackner] *
1 [Bernhard Junghänel] *
1 [Bruce Dickey] *
1 [Carsten Lohff] *
1 [Adrian Rovatkay] *
1 [Aino Hildebrandt] *
1 [Albert Brüggen] *
1 [Alexander Schneider (2)] *
1 [Anette Sichelschmidt] *
1 [Ann-Kathrin Brüggemann] *
1 [Anne Katharina Schreiber] *
1 [Bernhard Landauer]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
33
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.06%
(1.95 × 1022 overall)
Dominant nodes (excluded from chart)Cantus Cölln 65.21%Adrian Rovatkay 11.74%Konrad Junghänel 10.12%Christoph Anselm Noll 2.93%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)