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 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 196 [Rail transport safety] *
1 [Anti-climbers] *
1 [Driver-only trains equipment] *
1 [Gleissperrenschloss] *
1 [Governor Hochul and Mayor Adams Join MTA Chair and CEO Janno Lieber for a Safety Announcement] *
1 [Governor Hochul Announces Major Investments To Improve Psychiatric Support For Those In Crisis] *
1 [HV 73] *
1 [Level Crossing Awareness Day] *
1 [Point machines] *
1 [Riegelhandschloss] *
1 [Weichenschloss] *
1 [Zungensperre] *
1 [Governor Hochul, Mayor Adams and MTA Announce Serious Improvement to Subway Safety] *
1 [Műszer Automatika Limited]
)
= 196
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Rail transport safety] *
1 [Anti-climbers] *
1 [Driver-only trains equipment] *
1 [Gleissperrenschloss] *
1 [Governor Hochul and Mayor Adams Join MTA Chair and CEO Janno Lieber for a Safety Announcement] *
1 [Governor Hochul Announces Major Investments To Improve Psychiatric Support For Those In Crisis] *
1 [HV 73] *
1 [Level Crossing Awareness Day] *
1 [Point machines] *
1 [Riegelhandschloss] *
1 [Weichenschloss] *
1 [Zungensperre] *
1 [Governor Hochul, Mayor Adams and MTA Announce Serious Improvement to Subway Safety] *
1 [Műszer Automatika Limited]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
14
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Rail transport safety 93.33%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)