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, 13) = 13
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 13 * 8 = 104
Base_Influence (IV) = $inbound / $outbound = 13 / 8 = 1.625
// 3. Exponential Network Values (accumulating 8 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 104 *
( 104 [Pitt] *
4 [Joseph M. Katz Graduate School of Business] *
4 [Pitt Band] *
4 [Plaques in the University of Pittsburgh] *
4 [University of Pittsburgh Archives and Collections] *
4 [University of Pittsburgh Medical Center] *
4 [University of Pittsburgh Transportation System] *
4 [Pitt Men's Glee Club]
)
= 177.21M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.625 *
( 1.63 [Pitt] *
1 [Joseph M. Katz Graduate School of Business] *
1 [Pitt Band] *
1 [Plaques in the University of Pittsburgh] *
1 [University of Pittsburgh Archives and Collections] *
1 [University of Pittsburgh Medical Center] *
1 [University of Pittsburgh Transportation System] *
1 [Pitt Men's Glee Club]
)
= 2.64
Outbound
13
Tags on post
Inbound
8
Posts tagging this
Connections
8
Total nodes
Base Node Strength
104
Base Node Influence
1.625
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Pitt 44.07%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Alumni of the University of Pittsburgh
BROKEN LINKFaculty of the University of Pittsburgh
BROKEN LINKUniversity of Pittsburgh athletics
BROKEN LINKUniversity of Pittsburgh campus
BROKEN LINKUniversity of Pittsburgh regional campuses
BROKEN LINK