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, 23) = 23
$outbound = max(1, 23) = 23
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 23 * 23 = 529
Base_Influence (IV) = $inbound / $outbound = 23 / 23 = 1
// 3. Exponential Network Values (accumulating 28 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 529 *
( 2 [in Waterloo] *
9 [Critical Mass cycling event, in Waterloo, Ontario] *
1 [Critical Mass in Argentina] *
1 [Critical Mass in Australia] *
1 [Critical Mass in Brazil] *
1 [Critical Mass in Chile] *
1 [Critical Mass in France] *
16 [Critical Mass in Germany] *
1 [Critical Mass in Greece] *
1 [Critical Mass in Hungary] *
1 [Critical Mass in Israel] *
1 [Critical Mass in Italy] *
1 [Critical Mass in Lithuania] *
1 [Critical Mass in Mexico] *
1 [Critical Mass in North Macedonia] *
1 [Critical Mass in Poland] *
1 [Critical Mass in Portugal] *
1 [Critical Mass in Slovakia] *
1 [Critical Mass in South Korea] *
1 [Critical Mass in Spain] *
1 [Critical Mass in the Czech Republic] *
1 [Critical Mass in the United Kingdom] *
1 [Critical Mass in the United States] *
1 [Spoke cards] *
1 [Critical Mass in Berlin] *
1 [Critical Mass in Cologne] *
1 [Pedal the highway! - Fahrraddemo zur Klimakonferenz] *
2 [Critical Mass cycling event]
)
= 304.7K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 2 [in Waterloo] *
1 [Critical Mass cycling event, in Waterloo, Ontario] *
1 [Critical Mass in Argentina] *
1 [Critical Mass in Australia] *
1 [Critical Mass in Brazil] *
1 [Critical Mass in Chile] *
1 [Critical Mass in France] *
1 [Critical Mass in Germany] *
1 [Critical Mass in Greece] *
1 [Critical Mass in Hungary] *
1 [Critical Mass in Israel] *
1 [Critical Mass in Italy] *
1 [Critical Mass in Lithuania] *
1 [Critical Mass in Mexico] *
1 [Critical Mass in North Macedonia] *
1 [Critical Mass in Poland] *
1 [Critical Mass in Portugal] *
1 [Critical Mass in Slovakia] *
1 [Critical Mass in South Korea] *
1 [Critical Mass in Spain] *
1 [Critical Mass in the Czech Republic] *
1 [Critical Mass in the United Kingdom] *
1 [Critical Mass in the United States] *
1 [Spoke cards] *
1 [Critical Mass in Berlin] *
1 [Critical Mass in Cologne] *
1 [Pedal the highway! - Fahrraddemo zur Klimakonferenz] *
0.5 [Critical Mass cycling event]
)
= 1
Outbound
23
Tags on post
Inbound
23
Posts tagging this
Connections
28
Total nodes
Base Node Strength
529
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Critical Mass in Germany 2.75%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)