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multilayer-centrality

Spectral centrality measures in multilayer networks and their application in scientometrics

Written and developed by Giorgos Sideris, 2018
Supervised by Dimitrios Katsaros

Thesis Document

The thesis location is in: reports/Spectral_centrality_measures_in_multilayer_networks_and_their_application_in_scientometrics.pdf

How to use :

  1. Install Matlab and open it
  2. Clone repository
  3. Navigate to the project folder on Matlab
  4. Use biplex_data(coauthorship file, citations file,delimiter) or h_index(coauthorship file, citations file,delimiter) or c3_index(coauthorship file, citations file,delimiter) or c4_index(coauthorship file, citations file, biplex results file,delimiter) on Matlab command line
  5. ๐Ÿค“๐Ÿค“๐Ÿค“

Task list :

  • Implement Biplex-like algorithm for one-layer network

  • Implement Biplex Pagerank algorithm as proposed by Pedroche, Romance, Criado

  • Make algorithm work with networks that contain dangling nodes

  • Test code's accuracy

  • Implement H-Index algorithm

  • Implement C^3-Index Algorithm

  • Test and compare algorithms

  • Apply to scientometrics

  • Examine correlation of results

  • Implement a new algorithm, C^4-Index

  • Apply to scientometrics

  • Examine correlation of results

  • Write thesis

  • Complete scientific paper

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