Analyzing Network Connections...
Network Profile
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, 6) = 6
$outbound = max(1, 6) = 6
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 6 = 36
Base_Influence (IV) = $inbound / $outbound = 6 / 6 = 1
// 3. Exponential Network Values (accumulating 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 36 *
( 81 [Abdullah Ibrahim] *
4 [Sibongile Khumalo] *
16 [Bheki Mseleku] *
9 [Nduduzo Makhathini] *
4 [Thandiswa Mazwai] *
9 [Themba Mkhize] *
1 [Tumi Mogorosi] *
9 [Zim Ngqawana] *
81 [Cape jazz] *
16 [Jonas Gwangwa] *
9 [The Jazz Epistles] *
1 [KwaGuq] *
1 [Caiphus Semenya] *
9 [Hugh Masekela & The Union Of South Africa] *
1 [Hugh Masekela Quintet] *
1 [Masekela And His African Beat Band]
)
= 57.13T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Abdullah Ibrahim] *
1 [Sibongile Khumalo] *
1 [Bheki Mseleku] *
1 [Nduduzo Makhathini] *
1 [Thandiswa Mazwai] *
1 [Themba Mkhize] *
1 [Tumi Mogorosi] *
1 [Zim Ngqawana] *
1 [Cape jazz] *
1 [Jonas Gwangwa] *
1 [The Jazz Epistles] *
1 [KwaGuq] *
1 [Caiphus Semenya] *
1 [Hugh Masekela & The Union Of South Africa] *
1 [Hugh Masekela Quintet] *
1 [Masekela And His African Beat Band]
)
= 1
Outbound
6
Tags on post
Inbound
6
Posts tagging this
Connections
16
Total nodes
Base Node Strength
36
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Oct 13, 6:52 PM
Emalahleni Local Municipality, Nkangala, South Africa
59
