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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://dk.um.si/IzpisGradiva.php?id=96580"><dc:title>Analysis of the Shortest Path Method Application in Social Networks</dc:title><dc:creator>Šumak,	Boštjan	(Avtor)
	</dc:creator><dc:creator>Pušnik,	Maja	(Avtor)
	</dc:creator><dc:subject>social networks</dc:subject><dc:subject>social networks analysis</dc:subject><dc:subject>shortest path problem</dc:subject><dc:subject>Dijkstra algorithm</dc:subject><dc:subject>Bellman-Ford algorithm</dc:subject><dc:subject>optimization of search</dc:subject><dc:description>This paper analyzes the shortest path problem (SPP) in social networks, based on the investigation and implementation of different methods on a simulated example. The objectives of the paper include identification of the most commonly used methods for finding the shortest path in a social network as a strategic attempt to speed the search of network nodes, focusing on the application of the two most used SPP methods: the Dijkstra and Bellman-Ford algorithms. A comparative analysis is used as an investigation method for performance evaluation of different algorithms, based on their implementation and behavior, tested on a social network example. The research results indicate that the Dijkstra algorithm is faster, and therefore more suitable for searching the shortest connection in social networks. </dc:description><dc:publisher>IOS Press</dc:publisher><dc:date>2023</dc:date><dc:date>2026-01-20 08:49:07</dc:date><dc:type>Znanstveno delo</dc:type><dc:identifier>96580</dc:identifier><dc:language>sl</dc:language><dc:rights>© 2023 The authors and IOS Press</dc:rights></rdf:Description></rdf:RDF>
