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, 8) = 8
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 8 * 8 = 64
Base_Influence (IV) = $inbound / $outbound = 8 / 8 = 1
// 3. Exponential Network Values (accumulating 8 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 64 *
( 1 [Chancellors of the University of Bristol] *
1 [Coats of arms of the University of Bristol] *
1 [David Smith Building] *
1 [Academics of the University of Bristol] *
1 [Libraries of the University of Bristol] *
1 [Royal Fort Gardens, Bristol] *
1 [University of Bristol, historical photographs of China collection] *
35 [university-of-bristol]
)
= 2.2K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Chancellors of the University of Bristol] *
1 [Coats of arms of the University of Bristol] *
1 [David Smith Building] *
1 [Academics of the University of Bristol] *
1 [Libraries of the University of Bristol] *
1 [Royal Fort Gardens, Bristol] *
1 [University of Bristol, historical photographs of China collection] *
0.7143 [university-of-bristol]
)
= 0.7143
Outbound
8
Tags on post
Inbound
8
Posts tagging this
Connections
8
Total nodes
Base Node Strength
64
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)university-of-bristol 33.02%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
No other posts link to this one yet.
