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Too Short
Former lakes
Adina Howard
Method Man
Salt flatsLake HāmūnDry Lake CerknicaCoolioDry lakes of the United StatesDry lakes of Pakistan

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Connected Bands/Artists

  • Coolio
  • Dry lake beds in France
  • Dry lakes of the United States
  • K-Ci & JoJo
  • Lake Faguibine
  • Lake Hāmūn
  • Lake Pinaroo
  • Lop Nur
  • Method Man
    Method Man band photo
  • Nadipinayakanahalli lake
  • Poopó Lake
  • Too Short
    Too Short band photo

Connected Musicians

  • Adina Howard
    Adina Howard band photo
  • Dry Lake Cerknica
  • Dry lakes of Pakistan
  • Former lakes
  • Lake Agnano
  • Salt flats

Analyzing Network Connections...

Network Profile

Overall Strength
i
78.09% of network
(529.2K)
Strength Breakdown
  • This Post (78.09%)
  • K-Ci & JoJo (3.59%)
  • Too Short (1.59%)
  • Method Man (1.20%)
  • Coolio (0.40%)
  • Dry lake beds in France (0.40%)
  • Dry Lake Cerknica (0.40%)
  • Dry lakes of Pakistan (0.40%)
  • Dry lakes of the United States (0.40%)
  • Former lakes (0.40%)
  • Lake Agnano (0.40%)
  • Lake Faguibine (0.40%)
  • Lake Hāmūn (0.40%)
  • Lake Pinaroo (0.40%)
  • Lop Nur (0.40%)
  • Nadipinayakanahalli lake (0.40%)
  • Poopó Lake (0.40%)
  • Salt flats (0.40%)
Dominant nodes (excluded from chart)
Adina Howard 9.96%
Influence Score
i
5.45% of network
(0.3333)
Influence Breakdown
  • This Post (5.45%)
  • Too Short (5.45%)
  • Adina Howard (5.45%)
  • Coolio (5.45%)
  • K-Ci & JoJo (5.45%)
  • Dry lake beds in France (5.45%)
  • Dry Lake Cerknica (5.45%)
  • Dry lakes of Pakistan (5.45%)
  • Dry lakes of the United States (5.45%)
  • Former lakes (5.45%)
  • Lake Agnano (5.45%)
  • Lake Faguibine (5.45%)
  • Lake Hāmūn (5.45%)
  • Lake Pinaroo (5.45%)
  • Lop Nur (5.45%)
  • Nadipinayakanahalli lake (5.45%)
  • Poopó Lake (5.45%)
  • Salt flats (5.45%)
  • Method Man (1.82%)
Direct Connections 28

Node & Network Details

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, 14) = 14
$outbound = max(1, 14) = 14

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 14 * 14 = 196
Base_Influence (IV) = $inbound / $outbound = 14 / 14 = 1

// 3. Exponential Network Values (accumulating 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 196 *
                           ( 4 [Too Short] *
                            25 [Adina Howard] *
                            1 [Coolio] *
                            9 [K-Ci & JoJo] *
                            1 [Dry lake beds in France] *
                            1 [Dry Lake Cerknica] *
                            1 [Dry lakes of Pakistan] *
                            1 [Dry lakes of the United States] *
                            1 [Former lakes] *
                            1 [Lake Agnano] *
                            1 [Lake Faguibine] *
                            1 [Lake Hāmūn] *
                            1 [Lake Pinaroo] *
                            1 [Lop Nur] *
                            1 [Nadipinayakanahalli lake] *
                            1 [Poopó Lake] *
                            1 [Salt flats] *
                            3 [Method Man]
                           )

                         = 529.2K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Too Short] *
                            1 [Adina Howard] *
                            1 [Coolio] *
                            1 [K-Ci & JoJo] *
                            1 [Dry lake beds in France] *
                            1 [Dry Lake Cerknica] *
                            1 [Dry lakes of Pakistan] *
                            1 [Dry lakes of the United States] *
                            1 [Former lakes] *
                            1 [Lake Agnano] *
                            1 [Lake Faguibine] *
                            1 [Lake Hāmūn] *
                            1 [Lake Pinaroo] *
                            1 [Lop Nur] *
                            1 [Nadipinayakanahalli lake] *
                            1 [Poopó Lake] *
                            1 [Salt flats] *
                            0.3333 [Method Man]
                           )

                         = 0.3333
Outbound 14 Tags on post
Inbound 14 Posts tagging this
Connections 18 Total nodes
Base Node Strength 196
Base Node Influence 1
Strength Share (vs Direct Neighbours)
78.09% (529.2K overall)
  • This Post (78.09%)
  • K-Ci & JoJo (3.59%)
  • Too Short (1.59%)
  • Method Man (1.20%)
  • Coolio (0.40%)
  • Dry lake beds in France (0.40%)
  • Dry Lake Cerknica (0.40%)
  • Dry lakes of Pakistan (0.40%)
  • Dry lakes of the United States (0.40%)
  • Former lakes (0.40%)
  • Lake Agnano (0.40%)
  • Lake Faguibine (0.40%)
  • Lake Hāmūn (0.40%)
  • Lake Pinaroo (0.40%)
  • Lop Nur (0.40%)
  • Nadipinayakanahalli lake (0.40%)
  • Poopó Lake (0.40%)
  • Salt flats (0.40%)
Dominant nodes (excluded from chart)
Adina Howard 9.96%
Influence Share (vs Direct Neighbours)
5.45% (0.3333 overall)
  • This Post (5.45%)
  • Too Short (5.45%)
  • Adina Howard (5.45%)
  • Coolio (5.45%)
  • K-Ci & JoJo (5.45%)
  • Dry lake beds in France (5.45%)
  • Dry Lake Cerknica (5.45%)
  • Dry lakes of Pakistan (5.45%)
  • Dry lakes of the United States (5.45%)
  • Former lakes (5.45%)
  • Lake Agnano (5.45%)
  • Lake Faguibine (5.45%)
  • Lake Hāmūn (5.45%)
  • Lake Pinaroo (5.45%)
  • Lop Nur (5.45%)
  • Nadipinayakanahalli lake (5.45%)
  • Poopó Lake (5.45%)
  • Salt flats (5.45%)
  • Method Man (1.82%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Too Short ↗
Str: 4Inf: 1
Adina Howard ↗
Str: 25Inf: 1
Coolio ↗
Str: 1Inf: 1
K-Ci & JoJo ↗
Str: 9Inf: 1
Dry lake beds in France ↗
Str: 1Inf: 1
Dry Lake Cerknica ↗
Str: 1Inf: 1
Dry lakes of Pakistan ↗
Str: 1Inf: 1
Dry lakes of the United States ↗
Str: 1Inf: 1
Former lakes ↗
Str: 1Inf: 1
Lake Agnano ↗
Str: 1Inf: 1
Lake Faguibine ↗
Str: 1Inf: 1
Lake Hāmūn ↗
Str: 1Inf: 1
Lake Pinaroo ↗
Str: 1Inf: 1
Lop Nur ↗
Str: 1Inf: 1
Nadipinayakanahalli lake ↗
Str: 1Inf: 1
Poopó Lake ↗
Str: 1Inf: 1
Salt flats ↗
Str: 1Inf: 1
Method Man ↗
Str: 3Inf: 0.3333
Weakest Connections (Lowest Multipliers)
Method Man ↗
Str: 3Inf: 0.3333
Salt flats ↗
Str: 1Inf: 1
Poopó Lake ↗
Str: 1Inf: 1
Nadipinayakanahalli lake ↗
Str: 1Inf: 1
Lop Nur ↗
Str: 1Inf: 1
Lake Pinaroo ↗
Str: 1Inf: 1
Lake Hāmūn ↗
Str: 1Inf: 1
Lake Faguibine ↗
Str: 1Inf: 1
Lake Agnano ↗
Str: 1Inf: 1
Former lakes ↗
Str: 1Inf: 1
Dry lakes of the United States ↗
Str: 1Inf: 1
Dry lakes of Pakistan ↗
Str: 1Inf: 1
Dry Lake Cerknica ↗
Str: 1Inf: 1
Dry lake beds in France ↗
Str: 1Inf: 1
K-Ci & JoJo ↗
Str: 9Inf: 1
Coolio ↗
Str: 1Inf: 1
Adina Howard ↗
Str: 25Inf: 1
Too Short ↗
Str: 4Inf: 1

Connection Health Audit (Red = broken 1-way link)

Outbound Tags (14)
Adina Howard
Dry lake beds in France
Dry Lake Cerknica
Dry lakes of Pakistan
Dry lakes of the United States
Former lakes
Lake Agnano
Lake Faguibine
Lake Hāmūn
Lake Pinaroo
Lop Nur
Nadipinayakanahalli lake
Poopó Lake
Salt flats
Inbound Posts (14)
Adina Howard
Dry lake beds in France
Dry Lake Cerknica
Dry lakes of Pakistan
Dry lakes of the United States
Former lakes
Lake Agnano
Lake Faguibine
Lake Hāmūn
Lake Pinaroo
Lop Nur
Nadipinayakanahalli lake
Poopó Lake
Salt flats
Last calculated: Jun 12, 12:22 AM
52

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