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, 10) = 10
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 8 = 80
Base_Influence (IV) = $inbound / $outbound = 10 / 8 = 1.25
// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 80 *
( 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]
)
= 320
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.25 *
( 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]
)
= 1.25
Outbound
10
Tags on post
Inbound
8
Posts tagging this
Connections
10
Total nodes
Base Node Strength
80
Base Node Influence
1.25
Strength Share (vs Direct Neighbours)
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