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Districts of MizoramChhiahtlangVantawng waterfallTuirihiau waterfallMamit districtSerchhipChamphai districtLawngtlai districtHnahthial districtKhawlailung

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Serchhip district

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Related Images

Lunglei district
Aizawl district
Saitual district

Analyzing Network Connections...

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Nearest Locations

  • 📍
    Serchhip2.3 km away
  • Thumbnail for Mizoram
    Mizoram7.5 km away
  • 📍
    Tourism in Mizoram7.5 km away
  • 📍
    Chhiahtlang7.7 km away
  • 📍
    Tuirihiau waterfall13.2 km away

Network Profile

Overall Strength
i
30.00% of network
(10.1K)
Strength Breakdown
  • This Post (30.00%)
  • Champhai district (3.33%)
  • Hnahthial district (0.83%)
  • Kolasib district (0.83%)
  • Lawngtlai district (0.83%)
  • Mamit district (0.83%)
  • Saiha district (0.83%)
  • Chhiahtlang (0.83%)
  • Khawlailung (0.83%)
  • Serchhip (0.83%)
  • Tuirihiau waterfall (0.83%)
  • Vantawng waterfall (0.83%)
Dominant nodes (excluded from chart)
Districts of Mizoram 58.33%
Influence Score
i
7.45% of network
(1.43)
Influence Breakdown
  • This Post (7.45%)
  • Districts of Mizoram (10.64%)
  • Champhai district (7.45%)
  • Hnahthial district (7.45%)
  • Kolasib district (7.45%)
  • Lawngtlai district (7.45%)
  • Mamit district (7.45%)
  • Saiha district (7.45%)
  • Chhiahtlang (7.45%)
  • Khawlailung (7.45%)
  • Serchhip (7.45%)
  • Tuirihiau waterfall (7.45%)
  • Vantawng waterfall (7.45%)
Direct Connections 12

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, 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 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 36 *
                           ( 70 [Districts of Mizoram] *
                            4 [Champhai district] *
                            1 [Hnahthial district] *
                            1 [Kolasib district] *
                            1 [Lawngtlai district] *
                            1 [Mamit district] *
                            1 [Saiha district] *
                            1 [Chhiahtlang] *
                            1 [Khawlailung] *
                            1 [Serchhip] *
                            1 [Tuirihiau waterfall] *
                            1 [Vantawng waterfall]
                           )

                         = 10.1K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.43 [Districts of Mizoram] *
                            1 [Champhai district] *
                            1 [Hnahthial district] *
                            1 [Kolasib district] *
                            1 [Lawngtlai district] *
                            1 [Mamit district] *
                            1 [Saiha district] *
                            1 [Chhiahtlang] *
                            1 [Khawlailung] *
                            1 [Serchhip] *
                            1 [Tuirihiau waterfall] *
                            1 [Vantawng waterfall]
                           )

                         = 1.43
Outbound 6 Tags on post
Inbound 6 Posts tagging this
Connections 12 Total nodes
Base Node Strength 36
Base Node Influence 1
Strength Share (vs Direct Neighbours)
30.00% (10.1K overall)
  • This Post (30.00%)
  • Champhai district (3.33%)
  • Hnahthial district (0.83%)
  • Kolasib district (0.83%)
  • Lawngtlai district (0.83%)
  • Mamit district (0.83%)
  • Saiha district (0.83%)
  • Chhiahtlang (0.83%)
  • Khawlailung (0.83%)
  • Serchhip (0.83%)
  • Tuirihiau waterfall (0.83%)
  • Vantawng waterfall (0.83%)
Dominant nodes (excluded from chart)
Districts of Mizoram 58.33%
Influence Share (vs Direct Neighbours)
7.45% (1.43 overall)
  • This Post (7.45%)
  • Districts of Mizoram (10.64%)
  • Champhai district (7.45%)
  • Hnahthial district (7.45%)
  • Kolasib district (7.45%)
  • Lawngtlai district (7.45%)
  • Mamit district (7.45%)
  • Saiha district (7.45%)
  • Chhiahtlang (7.45%)
  • Khawlailung (7.45%)
  • Serchhip (7.45%)
  • Tuirihiau waterfall (7.45%)
  • Vantawng waterfall (7.45%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Districts of Mizoram ↗
Str: 70Inf: 1.43
Champhai district ↗
Str: 4Inf: 1
Hnahthial district ↗
Str: 1Inf: 1
Kolasib district ↗
Str: 1Inf: 1
Lawngtlai district ↗
Str: 1Inf: 1
Mamit district ↗
Str: 1Inf: 1
Saiha district ↗
Str: 1Inf: 1
Chhiahtlang ↗
Str: 1Inf: 1
Khawlailung ↗
Str: 1Inf: 1
Serchhip ↗
Str: 1Inf: 1
Tuirihiau waterfall ↗
Str: 1Inf: 1
Vantawng waterfall ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Vantawng waterfall ↗
Str: 1Inf: 1
Tuirihiau waterfall ↗
Str: 1Inf: 1
Serchhip ↗
Str: 1Inf: 1
Khawlailung ↗
Str: 1Inf: 1
Chhiahtlang ↗
Str: 1Inf: 1
Saiha district ↗
Str: 1Inf: 1
Mamit district ↗
Str: 1Inf: 1
Lawngtlai district ↗
Str: 1Inf: 1
Kolasib district ↗
Str: 1Inf: 1
Hnahthial district ↗
Str: 1Inf: 1
Champhai district ↗
Str: 4Inf: 1
Districts of Mizoram ↗
Str: 70Inf: 1.43

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

Outbound Tags (6)
Chhiahtlang
Districts of Mizoram
Khawlailung
Serchhip
Tuirihiau waterfall
Vantawng waterfall
Inbound Posts (6)
Districts of Mizoram
Chhiahtlang
Khawlailung
Serchhip
Tuirihiau waterfall
Vantawng waterfall
Last calculated: Jul 29, 3:09 AM
Serchhip, India13

Related Content

Topics

  • Saiha district
  • Chhiahtlang
  • Districts of Mizoram
  • Khawlailung
  • Champhai district
  • Serchhip
  • Hnahthial district
  • Tuirihiau waterfall
  • Kolasib district
  • Vantawng waterfall
  • Lawngtlai district
  • Mamit district