Transcript graph-based system for analysis of researchers and paper

GRAPH-BASED SYSTEM FOR ANALYSIS OF
RESEARCHERS AND PAPER CITATIONS
Dušan Tatić *, Edin Mulalić **
* Faculty
of Electronic Engineering, University of Niš
** Mathematical Institute of the Serbian Academy of Sciences and Arts
TINKOS
Information theory and complex systems, Belgrade, 25.9.2013.
Introduction
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Rapid growth of published scientific papers
Mechanisms for organizing them in an efficient way
Ranking, filtering, and recommender systems
Quickly retrieve data
Search engines – Do the satisfy researcher needs?
Google Scholar
Microsoft Research
Microsoft Research
Architecture of the system
Internet
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Web crawler,
Sub-graph selector,
Data analyzer,
Data visualizer.
Web Crawler 1
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Web Crawler n
Graph
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Sub-graph selector 1
Sub-graph selector n
Sub-graph
Analyzer 1
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Visualizer
Analyzer n
Web crawler
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Title,
Authors,
Journal/Conference,
Year of publishing,
References.
Internet
Web Crawler 1
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Graph
Web Crawler n
Sub-graph selector
Graph
Reduce the amount of information,
 adapt graph structure,
 improves performance
of further data processing,
 represent citation relationships
among authors, papers, or journals,
 it can be filtered using some parameters.
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Sub-graph selector 1
Sub-graph
Sub-graph selector n
Data Analyzer
Evaluate impact of an individual
author or paper,
 comparison among them,
 selection of the most appropriate,
 various metrics,
 page rank, h-factor, etc.
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Sub-graph
Analyzer 1
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Analyzer n
Page Rank
Data visualizer
Table,
 Drawn graph,
 Structure adapted for
some specialized visualization tool.
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Sub-graph
Analyzer 1
Analyzer n
Visualizer
Table
Drawn Graph
Gephi – file format
Gephi - visualisation
Gephi - visualisation
Gephi - visualisation
Gephi - visualisation
Gephi - visualisation
Future work - clustering