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, 18) = 18
$outbound = max(1, 10) = 10
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 18 * 10 = 180
Base_Influence (IV) = $inbound / $outbound = 18 / 10 = 1.8
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 180 *
( 30 [Teisko] *
1 [Construction in Tampere] *
1 [Information graphics of Tampere] *
16 [Särkänniemi] *
1 [Squares in Tampere] *
1 [Statistical areas of Tampere] *
1 [Symbols of Tampere] *
9 [Tampere Parish Union] *
1 [Unidentified locations in Tampere] *
1 [Things named after Tampere] *
1 [Polso] *
1 [Teisko Church] *
1 [Kämmenniemi] *
1 [Terälahti] *
1 [Rapids ride] *
1 [Sara Hildén Art Museum] *
1 [Särkänniemi Aquarium] *
1 [Lutheran churches in Tampere] *
1 [Vatiala cemetery]
)
= 777.6K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.8 *
( 1.2 [Teisko] *
1 [Construction in Tampere] *
1 [Information graphics of Tampere] *
1 [Särkänniemi] *
1 [Squares in Tampere] *
1 [Statistical areas of Tampere] *
1 [Symbols of Tampere] *
1 [Tampere Parish Union] *
1 [Unidentified locations in Tampere] *
1 [Things named after Tampere] *
1 [Polso] *
1 [Teisko Church] *
1 [Kämmenniemi] *
1 [Terälahti] *
1 [Rapids ride] *
1 [Sara Hildén Art Museum] *
1 [Särkänniemi Aquarium] *
1 [Lutheran churches in Tampere] *
1 [Vatiala cemetery]
)
= 2.16
Outbound
18
Tags on post
Inbound
10
Posts tagging this
Connections
19
Total nodes
Base Node Strength
180
Base Node Influence
1.8
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Teisko 11.95%Särkänniemi 6.37%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Black and white photographs of Tampere
BROKEN LINKCemeteries in Tampere
BROKEN LINKDistricts of Tampere
BROKEN LINKFountains in Tampere
BROKEN LINKNight in Tampere
BROKEN LINKParks in Tampere
BROKEN LINKStreets in Tampere
BROKEN LINK