Ανάλυση δικτύων αναφορών με χρήση αλγορίθμων γένεσης τεχνητών δικτύων

Γραμματικός, Νικόλαος Αντώνιος

Citation network analysis with artificial network generation algorithms

Master Thesis

Author

Γραμματικός, Νικόλαος Αντώνιος

Date

2023-09

Abstract

A social network deals with a wealth of information on common or non-common activities. Co-authorship is one of the most tangible forms of research collaboration. A co-authors network is a social network in which the authors are connected to each other through their participation in one or more publications through an indirect route. The present study, using social network analysis, studied the network of co-authors of 10,300 articles published in the paper entitled "A survey and analysis of the first 40 years of scholarly literature in DEA: 1978-2016" where studies related to data envelopment analysis (DEA). The study was conducted using the Python programming language and co-authorship network analysis. The topology of the co-author network of 10,300 publications was analyzed using indicators of macro-level network analysis metrics, such as modularity, clustering coefficient, components and mean distance. In addition, in order to evaluate the performance of each author and paper in the network, micro-level metrics were used, such as the degree of centrality, the closeness centrality distribution and the eccentricity between the authors. The Gephi software was used to design and analyze the co-author network. The productivity rating showed that most of the publications came from the first papers of 1978. The specific works seem to be in the center of the graph that has been designed as it is the initial source for most of the papers. In conclusion, we understand that older writers are considered leaders in the network of co-authors, and as we move on to newer projects, the references to them increase. Using artificial network generation algorithms, a technical network was created with a similar structure and results both in macro-level analysis metrics and micro-level analysis, for further investigation regarding the metrics. The network of co-authors of the initial paper is a small social network consisting of the authors themselves, with common features and connections that are analyzed in the present study.

Postgraduate Studies Programme

Κυβερνοασφάλεια και Επιστήμη Δεδομένων

Department

Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Πληροφορικής

Number of pages

Language

Greek

URI

https://dione.lib.unipi.gr/xmlui/handle/unipi/15826
http://dx.doi.org/10.26267/unipi_dione/3248

Collections

Τμήμα Πληροφορικής

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Except where otherwise noted, this item's license is described as
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα