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, 11) = 11
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 11 * 8 = 88
Base_Influence (IV) = $inbound / $outbound = 11 / 8 = 1.375
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 88 *
( 216 [South Africa] *
1 [Clinton and Mandela visit to Robben Island 1998] *
4 [Lime Quarry, Robben Island] *
1 [Roads at Robben Island] *
1 [Robben Island Ferry] *
1 [Robben Island in World War II] *
1 [Robben Island tour buses] *
1 [Table Mountain seen from Robben Island] *
1 [Murray's Bay Harbour, Robben Island] *
1 [Leper Department] *
1 [Lime Quarry] *
2 [apartheid]
)
= 152.1K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.375 *
( 1.5 [South Africa] *
1 [Clinton and Mandela visit to Robben Island 1998] *
1 [Lime Quarry, Robben Island] *
1 [Roads at Robben Island] *
1 [Robben Island Ferry] *
1 [Robben Island in World War II] *
1 [Robben Island tour buses] *
1 [Table Mountain seen from Robben Island] *
1 [Murray's Bay Harbour, Robben Island] *
1 [Leper Department] *
1 [Lime Quarry] *
0.5 [apartheid]
)
= 1.03
Outbound
11
Tags on post
Inbound
8
Posts tagging this
Connections
12
Total nodes
Base Node Strength
88
Base Node Influence
1.375
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)South Africa 67.71%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Leper Department, Robben Island
BROKEN LINKNature on Robben Island
BROKEN LINK