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, 11) = 11
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 13 * 11 = 143
Base_Influence (IV) = $inbound / $outbound = 13 / 11 = 1.1818
// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 143 *
( 1 [Aerial photographs of Rawalpindi] *
1 [Aerial view of Rawalpindi] *
1 [Benazir Bhutto Hospital] *
1 [Births in Rawalpindi] *
1 [Hadiqa Kiani] *
1 [Nur railway station] *
1 [Parks in Rawalpindi] *
1 [Rawalpindi Bazaar] *
1 [Rawalpindi Cricket Stadium] *
1 [Statues in Rawalpindi] *
4 [Bahria Town, Rawalpindi] *
1 [Bahria Town] *
1 [Rawalpindi War Cemetery]
)
= 572
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.1818 *
( 1 [Aerial photographs of Rawalpindi] *
1 [Aerial view of Rawalpindi] *
1 [Benazir Bhutto Hospital] *
1 [Births in Rawalpindi] *
1 [Hadiqa Kiani] *
1 [Nur railway station] *
1 [Parks in Rawalpindi] *
1 [Rawalpindi Bazaar] *
1 [Rawalpindi Cricket Stadium] *
1 [Statues in Rawalpindi] *
1 [Bahria Town, Rawalpindi] *
1 [Bahria Town] *
1 [Rawalpindi War Cemetery]
)
= 1.18
Outbound
13
Tags on post
Inbound
11
Posts tagging this
Connections
13
Total nodes
Base Node Strength
143
Base Node Influence
1.1818
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Graves in Rawalpindi
BROKEN LINK
