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Natalia Kucharczuk

dblp:308/6116 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2022
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Graph algorithms and graph theory · 100%
Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Graph algorithms and graph theory
centrality		 0.612022
PageRank for Edges: Axiomatic Characterization · AAAI 2022
Graph algorithms and graph theory › centrality
edge centrality		 0.612022
PageRank for Edges: Axiomatic Characterization · AAAI 2022
Information retrieval › web search
link analysis		 0.212022
PageRank for Edges: Axiomatic Characterization · AAAI 2022
Information retrieval › ranking › graph-based ranking
pagerank		 0.212022
PageRank for Edges: Axiomatic Characterization · AAAI 2022

Methods — techniques the papers use, named apart from their topics

axiomatic characterization · 1.1
YearPublicationVenuePosition
2022 PageRank for Edges: Axiomatic Characterization
abstract
Edge centrality measures are functions that evaluate the importance of edges in a network. They can be used to assess the role of a backlink for the popularity of a website as well as the importance of a flight in virus spreading. Various node centralities have been translated to apply for edges, including Edge Betweenness, Eigenedge (edge version of eigenvector centrality), and Edge PageRank. With this paper, we initiate the discussion on the axiomatic properties of edge centrality measures. We do it by proposing an axiomatic characterization of Edge PageRank. Our characterization is the first characterization of any edge centrality measures in the literature.
Natalia Kucharczuk, Tomasz Was, Oskar Skibski
 AAAI1