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 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 272 [Vantaan Viihdeorkesteri] *
4 [Heikki Tuhkanen] *
1 [Ilkka Lehtonen] *
289 [Jukka Eskola] *
1 [Kaisa Ivars] *
1 [Leea Nikku] *
1 [Mari Kunnari] *
361 [Markku Johansson] *
1 [Markus Tuukkanen] *
1 [Mikaela Palmu] *
1 [Outi Iljin] *
1 [Seppo Helin] *
1 [Seppo Rautasuo] *
1 [Tero Toivonen] *
1 [Jukka Räikkönen] *
1 [Mikael Sandström]
)
= 113.51M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.06 [Vantaan Viihdeorkesteri] *
1 [Heikki Tuhkanen] *
1 [Ilkka Lehtonen] *
1 [Jukka Eskola] *
1 [Kaisa Ivars] *
1 [Leea Nikku] *
1 [Mari Kunnari] *
1 [Markku Johansson] *
1 [Markus Tuukkanen] *
1 [Mikaela Palmu] *
1 [Outi Iljin] *
1 [Seppo Helin] *
1 [Seppo Rautasuo] *
1 [Tero Toivonen] *
1 [Jukka Räikkönen] *
1 [Mikael Sandström]
)
= 1.06
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
16
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Markku Johansson 38.45%Jukka Eskola 30.78%Vantaan Viihdeorkesteri 28.97%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)