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Critical MassCritical Mass cycling event, in Waterloo, OntarioCritical Mass cycling event

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in Waterloo

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Connected Bands/Artists

  • Critical Mass
  • Critical Mass cycling event

Connected Musicians

  • Critical Mass cycling event, in Waterloo, Ontario

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.37% of network
(19K)
Strength Breakdown
  • This Post (0.37%)
  • Critical Mass cycling event, in Waterloo, Ontario (1.66%)
  • Critical Mass cycling event (0.37%)
Dominant nodes (excluded from chart)
Critical Mass 97.60%
Influence Score
i
44.44% of network
(1)
Influence Breakdown
  • This Post (44.44%)
  • Critical Mass (22.22%)
  • Critical Mass cycling event, in Waterloo, Ontario (22.22%)
  • Critical Mass cycling event (11.11%)
Direct Connections 3

Node & Network Details

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, 2) = 2
$outbound = max(1, 1) = 1

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 1 = 2
Base_Influence (IV) = $inbound / $outbound = 2 / 1 = 2

// 3. Exponential Network Values (accumulating 3 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 2 *
                           ( 529 [Critical Mass] *
                            9 [Critical Mass cycling event, in Waterloo, Ontario] *
                            2 [Critical Mass cycling event]
                           )

                         = 19K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 2 *
                           ( 1 [Critical Mass] *
                            1 [Critical Mass cycling event, in Waterloo, Ontario] *
                            0.5 [Critical Mass cycling event]
                           )

                         = 1
Outbound 2 Tags on post
Inbound 1 Posts tagging this
Connections 3 Total nodes
Base Node Strength 2
Base Node Influence 2
Strength Share (vs Direct Neighbours)
0.37% (19K overall)
  • This Post (0.37%)
  • Critical Mass cycling event, in Waterloo, Ontario (1.66%)
  • Critical Mass cycling event (0.37%)
Dominant nodes (excluded from chart)
Critical Mass 97.60%
Influence Share (vs Direct Neighbours)
44.44% (1 overall)
  • This Post (44.44%)
  • Critical Mass (22.22%)
  • Critical Mass cycling event, in Waterloo, Ontario (22.22%)
  • Critical Mass cycling event (11.11%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Critical Mass ↗
Str: 529Inf: 1
Critical Mass cycling event, in Waterloo, Ontario ↗
Str: 9Inf: 1
Critical Mass cycling event ↗
Str: 2Inf: 0.5
Weakest Connections (Lowest Multipliers)
Critical Mass cycling event ↗
Str: 2Inf: 0.5
Critical Mass cycling event, in Waterloo, Ontario ↗
Str: 9Inf: 1
Critical Mass ↗
Str: 529Inf: 1

Connection Health Audit (Red = broken 1-way link)

Outbound Tags (2)
Critical Mass cycling event
BROKEN LINK
Critical Mass cycling event, in Waterloo, Ontario
Inbound Posts (1)
Critical Mass cycling event, in Waterloo, Ontario
Last calculated: Jul 4, 6:24 AM
14

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