Large Deviations in Generalized Random Graphs with Node Weights
Sign Up to like & getrecommendations! Published in 2018 at "Acta Mathematica Sinica, English Series"
DOI: 10.1007/s10114-018-7357-6
Abstract: Generalized random graphs are considered where the presence or absence of an edge depends on the weights of its nodes. Our main interest is to investigate large deviations for the number of edges per node… read more here.
Keywords: generalized random; random graphs; large deviations; node weights ... See more keywords
Diverse phase transitions in optimized directed network models with distinct inward and outward node weights.
Sign Up to like & getrecommendations! Published in 2023 at "Physical review. E"
DOI: 10.1103/physreve.107.034312
Abstract: We consider growing directed network models that aim at minimizing the weighted connection expenses while at the same time favoring other important network properties such as weighted local node degrees. We employed statistical mechanics methods… read more here.
Keywords: node; node weights; directed network; network models ... See more keywords
Effective Keyword Search over Weighted Graphs
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.2985376
Abstract: Real graphs often contain edge and node weights, representing, for instance, penalty, distance or uncertainty. We study the problem of keyword search over weighted node-labeled graphs, in which a query consists of a set of… read more here.
Keywords: edge weights; keyword search; weights objective; search weighted ... See more keywords