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Title:Analiza znanstvenih objav in avtorjev z orodjem Gephi : diplomsko delo
Authors:ID Černak, Simon (Author)
ID Karakatič, Sašo (Mentor) More about this mentor... New window
Files:.pdf UN_Cernak_Simon_2022.pdf (3,82 MB)
MD5: 75457EA1904A2B857C8C669E89305816
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Diplomsko delo se osredotoča na analizo znanstvenih del in njihovih avtorjev, pridobljenih s spletne strani Google Scholar. Gephi je orodje za vizualizacijo mrežnih (grafnih) podatkovnih zbirk in z njegovo pomočjo smo izvedli natančno analizo povezanosti med prej omenjenimi podatki. Podatke smo pridobili s spletnim strganjem s spletne strani Google Scholar, ki je ena izmed največjih zbirk znanstvenih objav na spletu. Spletno strganje smo izvedli s pomočjo Pythona in knjižnice Scrapy. Pridobljene podatke je nato treba pripraviti in preoblikovati v obliko, ki jo sprejme Gephi. Za pripravo podatkov smo si pomagali s Python knjižnico Pandas in podatkovno obliko dataframe. Na koncu smo s pomočjo Gephija te podatke čim bolje prikazali in analizirali rezultate.
Keywords:spletno strganje, Scrapy, Gephi, podatki v obliki grafa
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[S. Černak]
Year of publishing:2022
Number of pages:1 spletni vir (1 datoteka PDF (XIII, 62 f.))
PID:20.500.12556/DKUM-83141 New window
UDC:004.775+004.62(043.2)
COBISS.SI-ID:144734211 New window
Publication date in DKUM:26.10.2022
Views:901
Downloads:59
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:21.09.2022

Secondary language

Language:English
Title:Analyzing scientific papers and authors with Gephi
Abstract:The thesis focuses on the analysis of scientific works and their authors retrieved from Google Scholar. Gephi is a tool for visualizing network (graph) databases, and we used it to perform a detailed analysis of the relationships between the data. The data is obtained by web scraping from Google Scholar, which is one of the largest repositories of scientific publications on the web. The web scraping is performed using Python and the Scrapy library. The extracted data then needs to be compiled and transformed into a format that Gephi accepts. To prepare the data, we used the Python library Pandas and the dataframe format. Finally, with the help of Gephi, we were able to better display this data and analyze the results.
Keywords:web scraping, Scrapy, Gephi, graph based data


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