Results 31 to 40 of about 41,287 (259)
Potential gain as a centrality measure [PDF]
IEEE/WIC/ACM International Conference on Web Intelligence, 2019 Navigability is a distinctive features of graphs associated with artificial or natural systems whose primary goal is the transportation of information or goods. We say that a graph $\mathcal{G}$ is navigable when an agent is able to efficiently reach any target node in $\mathcal{G}$ by means of local routing decisions.
De Meo P., Levene M., Provetti A.
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Centrality measures in interval-weighted networks
Journal of Complex Networks, 2022 Abstract Centrality measures are used in network science to assess the centrality of vertices or the position they occupy in a network. There are a large number of centrality measures according to some criterion. However, the generalizations of the most well-known centrality measures for weighted networks, degree centrality, closeness ...
Hélder Alves +2 more
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Artificial Intelligence Chemistry, 2023 The proposed work uses centrality measures based heuristic method to improve the efficiency of the solution for the similarity search problem in molecular chemical graphs by effectively identifying central candidate or representative candidate nodes ...
Nirmala Parisutham
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A New Methodology to Study Street Accessibility: A Case Study of Avila (Spain)
ISPRS International Journal of Geo-Information, 2021 Taking into account that accessibility is one of the most strategic and determining factors in economic models and that accessibility and tourism affect each other, we can say that the study and improvement of one of them involved the development of the ...
Manuel Curado +4 more
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Linking the network centrality measures closeness and degree
Communications Physics, 2022 The availability of large amount of data has made network science a tool to be used across many disciplines. The authors derive a mathematical approximation that link two of the most used centrality measures in graph theory, degree and closeness, finding
Tim S. Evans, Bingsheng Chen
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Journal of King Saud University: Computer and Information Sciences, 2022 Epidemic modeling in complex networks is a hot research topic in recent years. The spreading of a virus (such as SARS-CoV-2) in a community, spreading computer viruses in communication networks, or spreading gossip on a social network is the subject of ...
Aybike Şimşek
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Temporal walk based centrality metric for graph streams
Applied Network Science, 2018 A plethora of centrality measures or rankings have been proposed to account for the importance of the nodes of a network. In the seminal study of Boldi and Vigna (2014), the comparative evaluation of centrality measures was termed a difficult, arduous ...
Ferenc Béres +3 more
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A centrality measure for cycles and subgraphs II [PDF]
Applied Network Science, 2018 In a recent work we introduced a measure of importance for groups of vertices in a complex network. This centrality for groups is always between 0 and 1 and induces the eigenvector centrality over vertices. Furthermore, its value over any group is the fraction of all network flows intercepted by this group.
Giscard, Pierre-Louis +1 more
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Centrality measures for immunization of weighted networks [PDF]
Network Biology, 2016 Effective immunization of individual communities with minimal cost in vaccination has made great discussion surrounding the realm of complex networks.
Mohammad Khansari +2 more
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IEEE Access, 2023 Over the past decade, there has been extensive research conducted on complex networks, primarily driven by their crucial role in understanding the various real-world networks such as social networks, communication networks, transportation networks, and ...
Mondikathi Chiranjeevi +3 more
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