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Department of Computer ScienceDepartment of Computer Science, University of OxfordNigel Shadbolt

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Nigel Shadbolt at Wikimania 2014

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British Computer Society

Analyzing Network Connections...

Network Profile

Overall Strength
i
4.17% of network
(432)
Strength Breakdown
  • This Post (4.17%)
  • Department of Computer Science (37.50%)
  • Department of Computer Science, University of Oxford (33.33%)
  • Nigel Shadbolt (25.00%)
Influence Score
i
21.43% of network
(1.33)
Influence Breakdown
  • This Post (21.43%)
  • Department of Computer Science, University of Oxford (42.86%)
  • Department of Computer Science (21.43%)
  • Nigel Shadbolt (14.29%)
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 3 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 8 [Department of Computer Science, University of Oxford] *
                            9 [Department of Computer Science] *
                            6 [Nigel Shadbolt]
                           )

                         = 432

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 2 [Department of Computer Science, University of Oxford] *
                            1 [Department of Computer Science] *
                            0.6667 [Nigel Shadbolt]
                           )

                         = 1.33
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 3 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
4.17% (432 overall)
  • This Post (4.17%)
  • Department of Computer Science (37.50%)
  • Department of Computer Science, University of Oxford (33.33%)
  • Nigel Shadbolt (25.00%)
Influence Share (vs Direct Neighbours)
21.43% (1.33 overall)
  • This Post (21.43%)
  • Department of Computer Science, University of Oxford (42.86%)
  • Department of Computer Science (21.43%)
  • Nigel Shadbolt (14.29%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Department of Computer Science, University of Oxford ↗
Str: 8Inf: 2
Department of Computer Science ↗
Str: 9Inf: 1
Nigel Shadbolt ↗
Str: 6Inf: 0.6667
Weakest Connections (Lowest Multipliers)
Nigel Shadbolt ↗
Str: 6Inf: 0.6667
Department of Computer Science ↗
Str: 9Inf: 1
Department of Computer Science, University of Oxford ↗
Str: 8Inf: 2

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

Outbound Tags (1)
Nigel Shadbolt
Inbound Posts (1)
Nigel Shadbolt
Last calculated: Sep 17, 8:20 AM
8

Related Content

Locations

  • Department of Computer Science, University of Oxford
  • Department of Computer Science

Topics

  • Nigel Shadbolt