the formation of the citation network from global and ... · 1.3 1.2 1.1 1.0 0.9 0.8 0.7 10 year...

1
s 2 Year Papers in arXiv hep-th in 2004 The width s is roughly constant in data and in our model Citation distribution for papers published in one year INPUT Fit using reasonably well cited papers Recommendations… Recent Papers Desks of good intentions… The formation of the Citation Network from Global and Local Knowledge S.R. Goldberg 1 , H. Anthony 2 and Tim S. Evans 2,3 S.R. Goldberg, H. Anthony, T.S. Evans, Modelling Citation Networks, submitted to Scientometrics, 2014 [arXiv:1408.2970] 1 School of Physics and Astronomy, Queen Mary University of London, 2 Centre for Complexity Science, Imperial College London. 3 Presenting author OUTPUTS Consistency checks: a, b Width: s 4. New Model Library , Older Texts Global Knowledge Copy Citations = Local Search 1. Analysis 2. Data 5. Results Ratio s 2 model/data Year p=0.55 q=0.20 t=200 papers ln( ) (fig.20) (fig.3)

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Page 1: The formation of the Citation Network from Global and ... · 1.3 1.2 1.1 1.0 0.9 0.8 0.7 10 Year Imperial College London My Paper T„S.Evans Imperial College London Accedite et videbimus,

s2

Year

Papers in arXiv hep-th in 2004

The width s is roughly constant

in data and in our model

Citation distribution for papers published in one year

INPUT

Fit using reasonably

well cited papers

Recommendations…

Recent Papers

Desks of

good intentions…

The formation of the Citation Network

from Global and Local KnowledgeS.R. Goldberg1, H. Anthony2 and Tim S. Evans2,3

S.R. Goldberg, H. Anthony,

T.S. Evans,

Modelling Citation Networks,

submitted to Scientometrics, 2014

[arXiv:1408.2970]

1School of Physics and Astronomy,

Queen Mary University of London,2Centre for Complexity Science,

Imperial College London.3Presenting author

OUTPUTSConsistency

checks: a, b

Width: s

4. New Model

Library,

Older Texts

Global

Knowledge

Copy

Citations

= Local

Search

1. Analysis

2. Data

5. Results

Ratios

2m

odel/d

ata

Year

p=0.55

q=0.20

t=200papers

ln( )

(fig.20)

(fig.3)