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, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 2 [James Burke] *
81 [Cheapskate] *
16 [Dec 12 1997 Cheapskate] *
16 [Dec 7 1996 Stomach] *
9 [Mar 29 1996 Cheapskate] *
9 [May 2 1997 State of Fear] *
16 [Sep 29 1996 Citizen Fish] *
1 [Paraic Sweeney] *
25 [niall-byrne-eapsa-measa] *
81 [Brooder] *
16 [Aug 17 1996 Consume] *
16 [Feb 10 1997 The VSS] *
4 [Jamie Traumaboy] *
1 [Stephen Boyle] *
4 [Mark Doherty] *
9 [Jamie Grimes] *
1 [Dave Whelan] *
16 [Blunt City Arts Centre]
)
= 2.57 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 2 [James Burke] *
1 [Cheapskate] *
1 [Dec 12 1997 Cheapskate] *
1 [Dec 7 1996 Stomach] *
1 [Mar 29 1996 Cheapskate] *
1 [May 2 1997 State of Fear] *
1 [Sep 29 1996 Citizen Fish] *
1 [Paraic Sweeney] *
1 [niall-byrne-eapsa-measa] *
1 [Brooder] *
1 [Aug 17 1996 Consume] *
1 [Feb 10 1997 The VSS] *
1 [Jamie Traumaboy] *
1 [Stephen Boyle] *
1 [Mark Doherty] *
1 [Jamie Grimes] *
1 [Dave Whelan] *
1 [Blunt City Arts Centre]
)
= 2
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
18
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.22%
(2.57 × 1017 overall)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)