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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 100 [Dashboard Confessional] *
1 [Armon Jay] *
36 [Chris Carrabba] *
1 [Chris Kamrada] *
1 [Dan Bonebrake] *
4 [Dane Poppin] *
1 [John Lefler] *
1 [Mike Marsh (2)] *
1 [Scott Schoenbeck] *
1 [Dashboard Confessional - First Avenue - 2/25/2020] *
4 [Sean Gadd] *
49 [Grouplove] *
4 [Ryan Rabin] *
1 [Andrew Wessen] *
1 [Christian Zucconi] *
1 [Daniel Gleason] *
1 [Hannah Hooper]
)
= 45.16M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Dashboard Confessional] *
1 [Armon Jay] *
1 [Chris Carrabba] *
1 [Chris Kamrada] *
1 [Dan Bonebrake] *
1 [Dane Poppin] *
1 [John Lefler] *
1 [Mike Marsh (2)] *
1 [Scott Schoenbeck] *
1 [Dashboard Confessional - First Avenue - 2/25/2020] *
1 [Sean Gadd] *
1 [Grouplove] *
1 [Ryan Rabin] *
1 [Andrew Wessen] *
1 [Christian Zucconi] *
1 [Daniel Gleason] *
1 [Hannah Hooper]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
17
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Dashboard Confessional 47.17%Grouplove 23.11%Chris Carrabba 16.98%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)