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, 13) = 13
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 13 * 13 = 169
Base_Influence (IV) = $inbound / $outbound = 13 / 13 = 1
// 3. Exponential Network Values (accumulating 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 169 *
( 63 [Royal Tropical Institute] *
99 [Special Capital Region of Jakarta] *
255 [bandung] *
49 [Jaap Kunst] *
64 [Dutch East India Company 1602] *
36 [Gregor Krause] *
4 [batavia museum] *
4 [Gadjah Mada] *
4 [Ministry of the Colonies] *
1 [Elections in Jakarta] *
1 [Ethnic groups in Jakarta] *
1 [Flags of Jakarta] *
1 [Floods in Jakarta] *
1 [NMVW photographs of Batavia and Jakarta 10-2020] *
1 [Persija Jakarta kits] *
1 [Photographs of flags of Indonesia in Jakarta] *
1 [Sociëteit Concordia] *
1 [United States Navy images from Jakarta]
)
= 1.94 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.29 [Royal Tropical Institute] *
1.22 [Special Capital Region of Jakarta] *
1.13 [bandung] *
1 [Jaap Kunst] *
1 [Dutch East India Company 1602] *
1 [Gregor Krause] *
1 [batavia museum] *
1 [Gadjah Mada] *
1 [Ministry of the Colonies] *
1 [Elections in Jakarta] *
1 [Ethnic groups in Jakarta] *
1 [Flags of Jakarta] *
1 [Floods in Jakarta] *
1 [NMVW photographs of Batavia and Jakarta 10-2020] *
1 [Persija Jakarta kits] *
1 [Photographs of flags of Indonesia in Jakarta] *
1 [Sociëteit Concordia] *
1 [United States Navy images from Jakarta]
)
= 1.78
Outbound
13
Tags on post
Inbound
13
Posts tagging this
Connections
18
Total nodes
Base Node Strength
169
Base Node Influence
1
Strength Share (vs Direct Neighbours)
22.35%
(1.94 × 1015 overall)
Dominant nodes (excluded from chart)bandung 33.73%Special Capital Region of Jakarta 13.10%Dutch East India Company 1602 8.47%Royal Tropical Institute 8.33%Jaap Kunst 6.48%Gregor Krause 4.76%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Jakarta Council
BROKEN LINK
No other posts link to this one yet.
