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Centre for Biomolecular Sciences, University of NottinghamCentre for Biomolecular Sciences

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University of Nottingham

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Analyzing Network Connections...

Loading Map...

Nearest Locations

  • Thumbnail for Castle Lock, Nottingham
    Castle Lock, Nottingham3.1 km away
  • Thumbnail for George Kaye
    George Kaye3.1 km away
  • Thumbnail for Wilford Street Canal Bridge
    Wilford Street Canal Bridge3.2 km away
  • 📍
    British Waterways Warehouse, Nottingham3.3 km away
  • 📍
    British Waterways Warehouse3.3 km away

Network Profile

Overall Strength
i
25.00% of network
(2)
Strength Breakdown
  • This Post (25.00%)
  • Centre for Biomolecular Sciences, University of Nottingham (50.00%)
  • Centre for Biomolecular Sciences (25.00%)
Influence Score
i
25.00% of network
(2)
Influence Breakdown
  • This Post (25.00%)
  • Centre for Biomolecular Sciences, University of Nottingham (50.00%)
  • Centre for Biomolecular Sciences (25.00%)
Direct Connections 2

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

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

// 3. Exponential Network Values (accumulating 2 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 2 [Centre for Biomolecular Sciences, University of Nottingham] *
                            1 [Centre for Biomolecular Sciences]
                           )

                         = 2

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 2 [Centre for Biomolecular Sciences, University of Nottingham] *
                            1 [Centre for Biomolecular Sciences]
                           )

                         = 2
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 2 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
25.00% (2 overall)
  • This Post (25.00%)
  • Centre for Biomolecular Sciences, University of Nottingham (50.00%)
  • Centre for Biomolecular Sciences (25.00%)
Influence Share (vs Direct Neighbours)
25.00% (2 overall)
  • This Post (25.00%)
  • Centre for Biomolecular Sciences, University of Nottingham (50.00%)
  • Centre for Biomolecular Sciences (25.00%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Centre for Biomolecular Sciences, University of Nottingham ↗
Str: 2Inf: 2
Centre for Biomolecular Sciences ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Centre for Biomolecular Sciences ↗
Str: 1Inf: 1
Centre for Biomolecular Sciences, University of Nottingham ↗
Str: 2Inf: 2

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

Outbound Tags (1)
Centre for Biomolecular Sciences
BROKEN LINK
Inbound Posts (1)
No other posts link to this one yet.
Last calculated: Sep 22, 1:13 PM
Nottingham, Nottinghamshire, United Kingdom23

Related Content

Topics

  • Centre for Biomolecular Sciences, University of Nottingham
  • Centre for Biomolecular Sciences